bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lead poisoning as a differential diagnosis in pediatric patients with chronic abdominal pain: A case-control study in Tehran‑Iran
Authors: Abbasi Farzaneh , Esmaeili Nazanin , Yazdi Mohammad , Alimadadi Hossein , Rahmani Parisa , Solgi Fatemeh , mohsenipour Rehaneh , Sharifi Farshad , Mohebbi Ali , khazdouz maryam 
Published: July 2023

Abstract

Background
Chronic abdominal pain is a potential complication of lead poisoning which is often challenging to diagnose. This case-control study aimed to evaluate blood lead levels in pediatrics with chronic abdominal pain.
Methods
The patients who presented to the gastrointestinal disease’s clinic of Children's Medical Center Hospital with the chief complaint of abdominal pain with no known etiology were enrolled in the study between April 2021–2023. Blood samples were collected to measure blood lead levels. Blood lead values of 10 µg /dL or higher were regarded as lead poisoning.
Results
There was no significant difference between age, sex, and height of the patients with chronic abdominal pain (case group) and the control group; whereas the mean (± standard deviation [SD]) weight was remarkably low in patients with chronic abdominal pain; 27.25(± 12.1) kg vs. control group: 31.70(± 14.7) kg (P value = 0.028). Fifty nine percent of children with chronic abdominal pain had serum lead levels ≥ 10 µg/dL. The mean (SD) of blood lead levels were statistically high in the case group: 11.09 (± 5.35) µg/dL vs. control group:8.26 (± 5.01) µg/dL) (P value ≤ 0.05). The appetite level was significantly low in case group; 3.8 (± 2.5) vs. control group 5.4 (± 1.3).
Conclusions
Lead poisoning should be considered as the differential diagnosis of chronic abdominal pain in children with no known etiology. Regarding the high rate of lead poisoning in the children exerting appropriate measures to reduce the exposure of children to lead is necessary.
Boosting multidimensional assessment of body image: Psychometric analysis of the Body Responsiveness Questionnaire in the Portuguese population
Authors: Torres Sandra , Vieira Ana Isabel , Vieira Filipa Mucha , Lencastre Leonor , Guerra Marina Prista , Miller Kylee , Barbosa Maria Raquel 
Published: July 2023

Abstract
Body responsiveness refers to the tendency to be attuned to the body’s needs and use interoceptive information to guide behavior. Despite its potential beneficial effect on the development of positive body image, this construct is currently understudied. To boost research in this area, we examined the factor structure, gender invariance, and psychometric properties of a Portuguese translation of the Body Responsiveness Questionnaire (BRQ). A total of 650 men and women (aged 18–80 years) completed the Portuguese BRQ. To assess its convergent validity, participants also completed measures of body appreciation, emotion regulation, depression symptoms, and psychological quality of life. Exploratory factor analysis indicated a two-factor structure of the BRQ, which was upheld using confirmatory factor analysis: “Importance of Interoceptive Awareness” (ω = .85-.87) and “Perceived Connection” between body and mind (ω = .71-.74). BRQ scores had partial scalar invariance across gender, and no significant gender differences. Convergent validity was supported, as well as known-groups validity, with participants with overweight/obesity assigning higher importance of body signals to guide behavior than those with normal weight. The Portuguese version of the BRQ is a psychometrically sound measure of body responsiveness and it may contribute to a comprehensive assessment of positive body image to guide intervention.
Integrated Multi-Omics Analysis Identifies Disrupted Branched-Chain Amino Acid Catabolism as Causal for Sarcopenia
Authors: Li Tao , Zhao Rui , Zuo Xinrong , Wu Minming , Wang Yanyan , Tang Kuo , Wang Yang , Cao Yang 
Published: July 2023

Abstract

Sarcopenia is a geriatric skeletal muscle disorder with a gradual loss of skeletal muscle mass and function. Despite its prevalence, the underlying mechanisms of sarcopenia are not yet fully understood, and there are currently no approved treatments. In this study, we conduct a comprehensive analysis of the molecular and metabolic signatures of skeletal muscle in early and late stages of sarcopenia using multi-omics approaches. We found substantial metabolic and mitochondrial dysfunction in sarcopenia. Our results reveal that disrupted BCAA catabolism is a prominent pathway in sarcopenia, which leads to BCAA accumulation and decreased muscle strength and mass. Machine learning analysis further supports the causal role of BCAA catabolic dysfunction in sarcopenia. We further validate our results using separate cohorts of sarcopenia patients and muscle-specific Ppm1k knockout mice. The study highlights the importance of improving BCAA catabolism as a potential strategy for slowing down the progression of sarcopenia.
Identifying iodine deficiencies from dietary transitions using shopping data
Authors: Mansilla Roberto , Long Gavin , Welham Simon , Harvey John , Evgeniya Lukinova , Nica-Avram Georgiana , Smith Gavin , Salt David , Smith Andrew , Goulding James 
Published: July 2023

Abstract
Plant-based product replacements are rising in popularity, however, long-term health implications remain poorly understood, and available methods of assessment hamper population-level determination of nutritional impacts. We examine anonymised loyalty-card shopping records from Co-op Food, UK, to identify dietary transitions over time. We focus on 10,626 frequent customers who directly replaced milk with alternative milks. We then use product nutritional information to estimate weekly
nutrient intake before and after the transition. 83% who converted to alternative milk saw a fall in iodine (44%), calcium (30%) and vitamin B12 (39%) consumption with 57% reducing iodine purchase of more than 50%. The decline is even higher for those switching dairy and meat products. Our findings suggest that dietary transitions - such as replacing milk with alternative milks - could lead to nutritional deficiencies, notably iodine, which if not addressed may represent a significant public health concern, particularly in countries which do not mandate salt iodisation.
Bronchial spasm after inducing anesthesia followed by intraoperative tracheal catheter obstruction: a case report
Authors: Jin Bi , Luo Hong , Heng Yang 
Published: July 2023

Abstract
Background
Bronchial spasm and tracheal tube obstruction are rare but dangerous emergencies during anesthesia. It is even rarer for these two situations to occur simultaneously in the same patient.
Case presentation
In September 2022, a patient with endotracheal intubation experienced bronchospasm and then sputum obstruction of the tracheal tube during general anesthesia in our hospital. Thanks to the rapid identification of the etiology and timely intervention, the patient successfully completed the operation without any adverse outcomes.
Conclusion
During general anesthesia, various unexpected situations may occur at any time, and we need to constantly pay attention to the patient's vital signs. In case of emergency situations, timely detection and prompt handling can save the patient's life
An ADAM10 exosite inhibitor is efficacious in an in vivo collagen-induced arthritis model
Authors: Diez Juan , Selsted Michael E. , Bannister Thomas D. , Minond Dmitriy 
Published: July 2023

Abstract
Rheumatoid arthritis is a systemic autoimmune inflammatory disease which affects millions of people worldwide. There are multiple disease-modifying anti-rheumatic drugs available; however, many of the patients do not respond to any treatment. A disintegrin and metalloproteinase 10 has been suggested as a potential new target for RA due to its role in releasing of multiple pro- and anti-inflammatory factors from the cell surface of cells. In the present study we determined pharmacokinetic parameters and in vivo efficacy of a compound CID3117694 from a novel class of non-zinc-binding inhibitors. Oral bioavailability was demonstrated in blood and synovial fluid after 10mg/kg dose. To test efficacy, we established the collagen-induced arthritis model in mice. CID3117694 was administered orally at 10, 30, and 50 mg/kg/day for 28 days. CID3117694 was able to dose-dependently improve disease score, decrease RA markers in blood and decrease signs of inflammation, hyperplasia, pannus formation, and cartilage erosion in affected joints as compared to the untreated control. Additionally, mice treated with CID 3117694 did not exhibit any clinical signs of distress, suggesting low toxicity. The results of this study suggest that ADAM10 exosite inhibition can be a viable therapeutic approach to RA.
The Identification of Genetic Variation and Principal Components in Pepper (Capsicum spp.) Implications of Genotypes for Breeding and Crop Improvement
Authors: Parvin Nighat , Author Md. Arifuzzaman 
Published: July 2023

Abstract
The goal of this research was to evaluate the level of distinction amongst pepper (Capsicum spp.) varieties. From November 2019 to April 2020, carried out at the university’s experimental field during the Rabi season. Thirty different pepper genotypes, including bell, jalapeo, poblano, cayenne, serrano, and pepperoncini, were used in this investigation. The study used a randomized complete block design (RCBD). Estimates were made for pepper genotypes about days to flowering, fruit length, fruit diameter, number of branches, chlorophyll content, individual fruit weight, dry weight, thousand seed weight, and vitamin C content. The findings showed that the C80 genotype had the heaviest individual fruit weight (20.83 g), whereas the C88 genotype had the lowest fruit weight (1.91 g). Individual fruit weight of pepper genotypes was shown to be positively associated with both fruit length (0.80***) and chlorophyll content (0.79***) in the correlation analysis. The relationship between plant height and dry weight is statistically significant and favorable (0.83***). The 30 genotypes were clustered into 5 categories using Mahalanobis D2 analysis. Twelve different pepper genotypes were found in Cluster I, whereas just one was found in Cluster V. Clusters I and II produced fruits with greater average weights. According to the bi-plot, the parameters fruit diameter, dry weight, fruit length, ascorbic acid content, and plant height were best matched by the genotypes C82, C47, C43, and C37. These pepper genotypes were found in three different groups (I, II, and IV) and may be useful for future hybridization projects in the nation.
Emotional Processing, Coping, and Cancer-Related Sickness Symptoms in Breast Cancer Survivors: Cross- Sectional Secondary Analysis of the REPAT Study
Authors: Harel Keren , Czamanski-Cohen Johanna , Cohen Miri , Weihs Karen L. 
Published: July 2023

Abstract
Purpose: The study aims to provide a better understanding of the relationship between emotional processing, coping, and cancer-related sickness symptoms.
Methods: The study used a cross-sectional, secondary analysis of data from 179 Israeli Jewish women who were breast cancer survivors (BCS) 3 to 18 months after completing primary treatment and who participated in a larger randomized controlled trial (REPAT study). Data were collected at baseline. Participants completed questionnaires measuring emotion acceptance, situational approach, avoidance coping, and cancer-related sickness symptoms (depression, fatigue, and pain) and a performance measure of emotional awareness. Hierarchical linear regressions were performed, controlling for background variables.
Results: Participants experienced significant clinical depression (51.7%), cancer-related fatigue (CRF, 78.8%), pain interference (78%), and pain intensity (66%) levels. There were strong correlations between cancer-related symptoms. After controlling for confounders, emotional processing (acceptance) was negatively associated with depression, and avoidance coping was positively associated with depression, CRF, and pain interference (i.e., higher use of avoidance related to higher cancer-related symptoms; higher acceptance was associated with lower depression). Emotional awareness and coping by approaching emotions were not related to cancer-related symptoms.
Conclusions: The BCS posttreatment period presents the challenge of dealing with elevated cancer-related symptoms. Regardless, BCS who used high emotional processing levels—especially acceptance of emotion and lower reliance on avoidance to cope—experienced fewer cancer-related symptoms.
Implications for Cancer Survivors: Professionals should recognize the potential role of emotional processing and avoidant coping relative to cancer-related symptoms and recognize their patterns in posttreatment patients.
A systematic assessment of Leishmania donovani infection in domestic and wild animal reservoir hosts of zoonotic Visceral Leishmaniasis
Authors: Pandey Ramendra Pati , Peer Gajala Deethamvali Ghouse , Priyadarshini Anjali , Gupta Archana , Vibhuti Arpana , Leal Elcio , Costa Antonio Charlys da , Prudencio Carlos , Chang Chung-Ming , Raj V. Samuel 
Published: July 2023

Abstract

Background
Leishmaniasis is a neglected disease with a global spread that affects both domestic and wild animals in addition to people. Leishmania donovani is the suspected anthroponotic cause of VL in India, where it is an endemic disease. The reservoir hosts play a crucial role in the life cycle of the Leishmania parasite. The complicated connection between the pathogen, vector, and reservoir exhibits geographical and temporal diversity. Human-to-human and, to a lesser extent, human-to-animal transmission is the principal mechanism for the maintenance of anthroponotic diseases.
Scope and approach
A deliberate, systematic search was conducted on PubMed, Science Direct, and Google Scholar using keywords such as "Leishmania donovani," "zoonotic visceral leishmaniasis," and "wild animal reservoir for leishmania donovani." 530 potentially significant references were obtained from these 507 were disallowed due to copy avoidance, irrelevant titles, research publications from nations other than India, or modified compositions. The remaining 20 investigations were later rejected because they did not meet the criteria for inclusion. Finally 3 research papers with 867 goats, 161 cattles, 106 chickens, 26 sheep, 3 buffaloes, 406 dogs and 309 rats were reported.
Conclusion
According to the review, goats are the epidemic's primary host and possible reservoir in several regions of India. In the endemic regions of the disease, some species of rodents along with the canines appear to be maintaining the L. donovani transmission cycle.
The Impact of College English Teaching on Improving Students’ Writing Effectiveness in the Context of Big Data
Authors: Sun Lu 
Published: July 2023

Abstract
In order to improve the English writing ability of college students and help them lay a good foundation for written communication in English when they graduate from school or continue their studies abroad. This paper collects data on college students’ English writing on the Internet through a clustering algorithm with the support of big data technology background and defines the scoring criteria for essays to target the deficiencies in college students’ English writing nowadays and urge students to correct them. With the support of a search algorithm, we obtained the demand for college students’ English from employers in China over the past 10 years and reflected on the aggregated demand data to link classroom teaching with workplace English. The study found that the English language skills valued by employers in order were speaking 80.5%, writing 86.3%, reading 57.9%, listening 40.2%, and translation 21.7%. A demand questionnaire survey was conducted randomly among non-English majored first- to fourth-year undergraduate students in five universities with tiered teaching. The results showed that 72% of the students thought they needed to improve their English speaking skills, 70.3% thought they needed to improve their English writing skills, and 40% thought they needed to improve their grammar skills, which shows that college students’ needs for improving their English speaking and writing skills are particularly prominent. The emphasis on English writing classroom education for college students can solve the urgent needs of students for English learning and improve college students’ English writing skills through big data science.
Construction of a refined people management model for SMEs based on discrete regression algorithm
Authors: Ma Hongli 
Published: July 2023

Abstract
Management innovation is particularly important today when technological convergence is becoming increasingly evident. Furthermore, as employees are the most important resource in work dynamic scheduling, the mobility of employees will bring extremely discrete regression particle swarm algorithm uncertainty to work projects, making its scheduling problem more complex. This paper first proposes to apply a discrete regression particle swarm algorithm based on refinement management as an enterprise management innovation to optimize three indicators of time, cost, and stability by implementing refinement personnel management. Secondly, we set constraints for dynamic tasks to implement management rescheduling to avoid overworking employees and thus maximize profits for the enterprise. Finally, the effectiveness of the discrete regression particle swarm algorithm is verified by selecting 27 benchmark examples to compare from three indicators of contribution and time and cost. The results show that the discrete regression particle swarm algorithm (S-PSO-VNS) has an average time reduction of 22.65%, a cost reduction of 15.21%, and a stability improvement of 35.74% compared to the other two control algorithms in terms of management algorithm quality and performance analysis. The research data illustrates that the discrete regression algorithm proposed in this paper can have high efficiency and effectiveness, and the discrete regression particle swarm algorithm can provide managers of SMEs with more informed decisions on work schedules, thus maximizing profits and achieving more profitability.
Research on the evaluation of the employment effect of Jiangsu artificial intelligence based on neural network on colleges and universities
Authors: Hao Fujin 
Published: July 2023

Abstract
Under the wave of digitization of big data information, the development of artificial intelligence technology continues to deepen the information technology revolution, which has a profound impact on human society and will also revolutionize the employment of different industries and groups. In this paper, we study the evaluation of employment effects of universities based on the neural network Jiangsu artificial intelligence. Since a neural network model needs to be built for training and there is a certain requirement for sample size, Jiangsu AI is selected for the study on the evaluation of employment effects in colleges and universities. The results show that the Dense Net model (C2) has better overall performance than the Vgg Net model, with weight and efficiency values of 89 and 88%, respectively, under the index of the educational level of college employment. Analyzing the impact of AI on college employment and unemployment in Jiangsu for the eight years from 2015 to 2022, it is concluded that with the development of time, the employment rate of college graduates reaches 87%, and the unemployment rate is 13% in 2022. This study has a guiding value for the employment of college graduates, and colleges and universities should focus on the future talent demand, guide students to cope with the possible impact of AI technology actively, cultivate students to acquire core competencies and literacy that AI does not easily replace, and promote high-quality employment of college students.
A study of cultural differences in Sino-Thai translation based on big data analysis
Authors: Zhao Jin 
Published: July 2023

Abstract
In today’s era of digital development of big data information, cross-cultural and cross-regional communication are becoming more and more frequent, and human beings have the right and desire to enjoy certain common cultural information, and it has been 38 years since China and Thailand established diplomatic relations in 1975. Cultural differences in Sino-Thai translation based on big data are studied in four aspects: inter-translation of personal names, inter-translation of geographical names, inter-translation of quantity sets, and inter-translation of date and time. This paper focuses on the research of cultural differences in Sino-Thai mutual translation based on big data analysis, constructing a bilingual word translation model with monolingual word vectors under the big data platform Spark, and conducting data analysis on the accuracy and efficiency of translation by collecting Chinese dataset and Thai dataset in parallelization algorithm in two structures SchemeA and SchemeB . The results show that the accuracy of the bilingual word vectors generated by either SchemeA or SchemeB improves as the size of the dataset increases. In addition, SchemeA is better than SchemeB in terms of accuracy and SchemeB is better than SchemeA in terms of efficiency performance, so Sche A me is suitable for translation tasks with high accuracy requirements, while Sche B me is suitable for translation tasks on large data sets. This study can improve the efficiency and accuracy of mutual translation between China and Thailand and train more translators. Today’s high technology brings much convenience to people, and social knowledge is constantly updated and developed. It is necessary to study in order to keep up with the changes of the times and to grasp the updates of the words of the times in order to translate well and more accurately, and this study not only contributes to the translation work in China but also has an important historical significance to the cultural exchange and communication between China and Thailand.
Management Style SMEs Development of Wooden Batik Centre
Authors: Torrido Aryan 
Published: July 2023

Industrial centers are often used as places for small and medium enterprise (SMEs) development activities and sources of regional income. This includes wooden batik centers in the DIY Province, namely in Putat Village, Gunung Kidul Regency, and Sendangsari Village, Bantul Regency. However, the development activities of SMEs in industrial centers in Indonesia were not optimal, one of the reasons is the management strategy. Therefore, this article contains a comparative study of management styles of development activities, using qualitative research methods, with multiple cases. The results showed that there was a different management style of SMEs development activities in the wooden batik center, where the management style of the wooden batik center SMEs development activity in Putat Village which was applied by the management of Kopinkra Sumber Rejeki Makmur as a center development institution was authoritarian, so the management system tends to be closed. In contrast to the management style of SMEs development activities in the wooden batik center in Sendangsari Village, which is applied by the Sido Katon Cooperative management as a development center institution assisted by the Pokdarwis Institute and BPDW Krebet Binangun, it is democratic, so the management system tends to be open.