UNASSIGNED: Several studies have suggested an association between vitamin deficiency and the development of tuberculosis; however, the precise impact remains unclear. This study aimed to elucidate the relationship between distinct vitamin statuses and the occurrence of tuberculosis.
UNASSIGNED: Retrieval was conducted using several databases without language restrictions to capture the eligible studies on tuberculosis and vitamin status. Pooled odds ratios (ORs), relative risks (RRs), and hazard ratios (HRs) were used with 95% confidence intervals (CIs) to clarify the relationship between the different vitamin statuses (A, B, D, and E) and the occurrence of tuberculosis. Subgroup analysis, sensitivity analysis, meta-regression analysis, and Galbraith plot were performed to determine sources of heterogeneity. Potential publication biases were detected using Begg\'s test, Egger\'s test, and the trim-and-fill test.
UNASSIGNED: We identified 10,266 original records from our database searches, and 69 eligible studies were considered in this study. The random-effect model showed that people with tuberculosis may exhibit vitamin A deficiency (OR = 10.66, 95%CI: 2.61-43.63, p = .001), while limited cohort studies showed that vitamin A supplementation may reduce tuberculosis occurrence. Additionally, vitamin D deficiency was identified as a risk factor for tuberculosis development (RR = 1.69, 95%CI: 1.06-2.67, p = .026), and people with tuberculosis generally had lower vitamin D levels (OR = 2.19, 95%CI: 1.76-2.73, p < .001) compared to other groups. No publication bias was detected.
UNASSIGNED: This meta-analysis indicated that people with tuberculosis exhibited low levels of vitamins A and D, while vitamin D deficiency was identified as a risk factor for tuberculosis. More randomized controlled interventions at the community levels should be recommended to determine the association between specific vitamin supplementation and tuberculosis onset.

This study examined women\'s unrecognized roles in facilitating socio-economic interactions and clan networks in a patriarchal society. A qualitative research methodology was chosen. Situational observations, key interviews, and group discussions were applied as data-gathering tools. A thematic descriptive analysis method was used to examine the data that had been gathered. Accordingly, the study found that women are not participating in leading customary institutions and publicly due to the traditional patriarchal domination. However, the customary law shields women from various presumptions. It has been noted women\'s participation in maintaining social order, economic reciprocity, and resource sharing. Most importantly, women\'s continual control of household responsibilities and income-generating activities is essential to Afar society\'s survival. The study recommends that multifaceted interventions should be made to maintain women\'s role in supporting their traditional methods of engaging in maintaining clan networks. An intervention should mostly be better focused on women\'s activities as it will help to explore additional mechanisms that uplift either women by themselves or by the initial intervention system. Therefore, the study recommends incorporating pastoral women\'s roles into more extensive women\'s enclave empowerment policies and removing the existing sociocultural limitations to allow them to contribute more to pastoral livelihoods.

Members of small groups fundamentally desire status as status underpins members\' self-concept and dictates behavior in groups. Moreover, group members readily orient and update status perceptions that index the social standing of themselves and other members. Yet, our understanding is obscured by variability in how researchers study status. In the current review, we crystallize knowledge regarding the nature of status by characterizing variability in definitions, measures, and analytic frameworks. We advocate a definition of status that draws together attributes of respect, admiration, and voluntary deference. We also distinguish reputational and relational status operationalizations and address implications pertaining to measurement along with downstream decisions involving data management and analysis. We encourage a deliberate approach to ensure congruency in how status is defined, measured, and analyzed within a research program. This review also guides theory and hypothesis generation regarding how status-related processes may vary based on different forms of status or differing contexts.
Distinctions in group members’ status naturally arise during group interactions. High status tends to be associated with an array of benefits, such as receiving more respect and attention, enjoying better psychological and physical health, and having greater access to valued resources and opportunities. As such, people fundamentally desire status, vigilantly attend to their own and others’ status, and actively pursue status. Status also powerfully influences group functioning. Whereas a consensually formed status hierarchy may provide order and increase coordination, disputes over status rank can undermine cooperation and encourage conflict among group members. Despite the critical role status plays in social interactions, researchers continue to disagree about how status should be defined and studied. Without a consistent definition and a measurement guideline, it is difficult to produce cumulative knowledge regarding when, for whom, and why status is afforded to others, and the consequences of gaining, losing, or threats to one\'s status. In this review, we advocate a status definition that identifies respect, admiration, and voluntary deference as three essential attributes of status. We also distinguish status that is consensually conferred by a group (i.e., reputational status) from status conferred by a particular group member (i.e., relational status). We conclude this paper by providing a guide of measurement options and data management strategies that are suitable for studying distinctive research questions.

If humans are to team with artificial teammates, factors that influence trust and shared accountability must be considered when designing agents. This study investigates the influence of anthropomorphism, rank, decision cost, and task difficulty on trust in human-autonomous teams (HAT) and how blame is apportioned if shared tasks fail. Participants (N = 31) completed repeated trials with an artificial teammate using a low-fidelity variation of an air-traffic control game. We manipulated anthropomorphism (human-like or machine-like), military rank of artificial teammates using three-star (superiors), two-star (peers), or one-star (subordinate) agents, the perceived payload of vehicles with people or supplies onboard, and task difficulty with easy or hard missions using a within-subject design. A behavioural measure of trust was inferred when participants accepted agent recommendations, and a measure of no trust when recommendations were rejected or ignored. We analysed the data for trust using binomial logistic regression. After each trial, blame was apportioned using a 2-item scale and analysed using a one-way repeated measures ANOVA. A post-experiment questionnaire obtained participants\' power distance orientation using a seven-item scale. Possible power-related effects on trust and blame apportioning are discussed. Our findings suggest that artificial agents with higher levels of anthropomorphism and lower levels of rank increased trust and shared accountability, with human team members accepting more blame for team failures.

The continuous monitoring and recording of patients\' pain status is a major problem in current research on postoperative pain management. In the large number of original or review articles focusing on different approaches for pain assessment, many researchers have investigated how computer vision (CV) can help by capturing facial expressions. However, there is a lack of proper comparison of results between studies to identify current research gaps.
The purpose of this systematic review and meta-analysis was to investigate the diagnostic performance of artificial intelligence models for multilevel pain assessment from facial images.
The PubMed, Embase, IEEE, Web of Science, and Cochrane Library databases were searched for related publications before September 30, 2023. Studies that used facial images alone to estimate multiple pain values were included in the systematic review. A study quality assessment was conducted using the Quality Assessment of Diagnostic Accuracy Studies, 2nd edition tool. The performance of these studies was assessed by metrics including sensitivity, specificity, log diagnostic odds ratio (LDOR), and area under the curve (AUC). The intermodal variability was assessed and presented by forest plots.
A total of 45 reports were included in the systematic review. The reported test accuracies ranged from 0.27-0.99, and the other metrics, including the mean standard error (MSE), mean absolute error (MAE), intraclass correlation coefficient (ICC), and Pearson correlation coefficient (PCC), ranged from 0.31-4.61, 0.24-2.8, 0.19-0.83, and 0.48-0.92, respectively. In total, 6 studies were included in the meta-analysis. Their combined sensitivity was 98% (95% CI 96%-99%), specificity was 98% (95% CI 97%-99%), LDOR was 7.99 (95% CI 6.73-9.31), and AUC was 0.99 (95% CI 0.99-1). The subgroup analysis showed that the diagnostic performance was acceptable, although imbalanced data were still emphasized as a major problem. All studies had at least one domain with a high risk of bias, and for 20% (9/45) of studies, there were no applicability concerns.
This review summarizes recent evidence in automatic multilevel pain estimation from facial expressions and compared the test accuracy of results in a meta-analysis. Promising performance for pain estimation from facial images was established by current CV algorithms. Weaknesses in current studies were also identified, suggesting that larger databases and metrics evaluating multiclass classification performance could improve future studies.
PROSPERO CRD42023418181; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=418181.

Sugarcane is the most important sugar and energy crop in the world. During sugarcane breeding, technology is the requirement and methods are the means. As we know, seed is the cornerstone of the development of the sugarcane industry. Over the past century, with the advancement of technology and the expansion of methods, sugarcane breeding has continued to improve, and sugarcane production has realized a leaping growth, providing a large amount of essential sugar and clean energy for the long-term mankind development, especially in the face of the future threats of world population explosion, reduction of available arable land, and various biotic and abiotic stresses. Moreover, due to narrow genetic foundation, serious varietal degradation, lack of breakthrough varieties, as well as long breeding cycle and low probability of gene polymerization, it is particularly important to realize the leapfrog development of sugarcane breeding by seizing the opportunity for the emerging Breeding 4.0, and making full use of modern biotechnology including but not limited to whole genome selection, transgene, gene editing, and synthetic biology, combined with information technology such as remote sensing and deep learning. In view of this, we focus on sugarcane breeding from the perspective of technology and methods, reviewing the main history, pointing out the current status and challenges, and providing a reasonable outlook on the prospects of smart breeding.

The bighorn sheep in Mexico is classified as at-risk by the Mexican federal government. In the state of Baja California, wild sheep can be observed throughout the length of the state from the USA-Mexico border south to the Agua de Soda mountain range. This research aimed to document the historical trend of the bighorn population based on aerial surveys conducted in 1992, 1995, 1999, 2010, and 2021, and the abundance, distribution, and structure of bighorn sheep populations in Baja California, based on an aerial survey conducted from 8-14 November 2021, covering thirteen mountain ranges. The estimated sheep population in 2021 was based on the number of individuals observed; the sightability of the animals; the area sampled; and the total area of habitat available. In 30.5 flight hours, 456 bighorn sheep were observed, with an estimated population of 1697 ± 80 individuals. The observation rate was 16 sheep sighted per hour of flight, and the ram:ewe:lamb ratio was 62:100:19. When the results of the 2021 flight were compared to the results of the previous aerial surveys, there was a large variation between the data, which was related to the lack of consistency between the sampling designs used in each study. Nevertheless, a statistical test of the results of aerial surveys conducted in the state suggest that the Baja California bighorn sheep population remained stable between 1992 and 2021. This study highlights the need to standardize wild sheep aerial surveys by defining flight paths and establishing a consistent duration of flights. On the other hand, Baja California authorities should consider modifying the current conservation strategy for bighorn sheep to increase the species\' population in the state by initiating community-based wildlife conservation programs in rural communities.

UNASSIGNED: According to the 2014 National Physical Fitness and Health Monitor, people aged 9 to 22 exhibit limited physical activity, with a large proportion exercising for less than 1 h daily. China has focused on the study of college student sports motivation. This study comprehensively analyzed sports motivation studies and their relevant factors on Chinese college students.
UNASSIGNED: The researchers searched CNKI (China National Knowledge Infrastructure), WANFANG DATA, Cqvip, Scopus, Web of Science, PubMed, and Cochrane Library for sports motivation in Chinese college students. Articles from 2018 to 2023 were searched. The final analysis included 30 pieces of literatures that met the topic criteria.
UNASSIGNED: The results show that Chinese college students\' sports motivation studies used large sample sizes and covered most of China. The main sports motivations are health, shape, and relaxation. Demography, psychology, social support, physical environment, and policy aspects affect sports motivation. Lack of use of qualitative and longitudinal studies.
UNASSIGNED: In the future, scholars who research the sports motivation of Chinese college students need to pay more attention to social support, physical environment, and policy. Furthermore, scholars may try to use qualitative and longitudinal studies.

Djibouti, a developing economy, grapples with significant socioeconomic obstacles and the prevalence of infectious pathologies, including certain forms of neoplasms. These challenges are exacerbated by limited access to affordable medical technologies for diagnosis, coupled with a lack of preventive interventions, particularly in disadvantaged areas. The attention devoted to local phytotherapeutic treatments underscores the uniqueness of Djibouti\'s flora, resulting from its distinctive geographical position. International focus specifically centers on harnessing this potential as a valuable resource, emphasizing the phytoconstituents used to counter pathologies, notably carcinomas. This comprehensive overview covers a broad spectrum, commencing with an examination of the current state of knowledge, namely an in-depth investigation of oncological risk factors. Essential elements of control are subsequently studied, highlighting the fundamental prerequisites for effective management. The significance of dietary habits in cancer prevention and support is explored in depth, while traditional methods are examined, highlighting the cultural significance of indigenous essential oil therapies and encouraging further research based on the promising results.

Alcohol and drug abuse are recognized risk factors in scientific literature that can leave female adolescents vulnerable to experience teen dating violence (TDV) in their relationships. These risk factors are highlighted in prevention campaigns, empowering girls to proactively avoid or decline situations that may put them at risk of such violence. This study delves into an underexplored risk factor for TDV, the Mirage of Upward Mobility (MUM), and its connections to previously established elements: coercive discourse, peer pressure, and the pursuit of status. A total of 146 relevant studies on TDV, and factors related to it, have been reviewed. MUM is conceptualized as the erroneous belief that engaging in relationships with traditionally dominant and disrespectful partners increases social status and attractiveness, although in reality, what happens is that that status and that attractiveness decrease. The study discusses the existence and factors contributing to MUM and underscores its importance as a risk factor for experiencing TDV to include in prevention campaigns.