bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiovascular and bone health outcomes in older people with subclinical hypothyroidism treated with levothyroxine: a systematic review and meta-analysis
Authors: Holley Mia , Razvi Salman , Farooq Mohammed Saif , Dew Rosie , Maxwell Ian , Wilkes Scott 
Published: May 2024

Abstract
Background
Thyroid dysfunction is common in older people, with females at higher risk. Evidence suggests that thyroid-stimulating hormone (TSH) levels naturally increase with age. However, as uniform serum TSH reference ranges are applied across the adult lifespan, subclinical hypothyroidism (SCH) diagnosis is more likely in older people, with some individuals also being commenced treatment with levothyroxine (LT4). It is unclear whether LT4 treatment in older people with SCH is associated with adverse cardiovascular or bone health outcomes.

Methods
A systematic review and meta-analysis were performed to synthesise previous studies evaluating cardiovascular and bone health outcomes in older people with SCH, comparing LT4 treatment with no treatment. PubMed, Embase, Cochrane Library, MEDLINE, and Web of Science databases were searched from inception until March 13, 2023, and studies that evaluated cardiovascular and bone health events in people with SCH over 50 years old were selected.

Results
Six articles that recruited 3853 participants were found, ranging from 185 to 1642 participants, with the proportion of females ranging from 45 to 80%. The paucity of data resulted in analysis for those aged over 65 years only. Additionally, a study with 12,212 participants aged 18 years and older was identified; however, only data relevant to patients aged 65 years and older were considered for inclusion in the systematic review. Of these 7 studies, 4 assessed cardiovascular outcomes, 1 assessed bone health outcomes, and 2 assessed both. A meta-analysis of cardiovascular outcomes revealed a pooled hazard ratio of 0.89 (95% CI 0.71–1.12), indicating no significant difference in cardiovascular risk between older individuals with SCH treated with LT4 compared to those without treatment. Due to overlapping sub-studies, meta-analysis for bone health outcomes was not possible.

Conclusions
This systematic review and meta-analysis found no significant association between LT4 use and cardiovascular and bone health outcomes in SCH participants over 65 years.

Systematic review registration
PROSPERO CRD42022308006
Predictors of cocaine use disorder treatment outcomes: a systematic review
Authors: Palazón-Llecha Alba , Caparrós Beatriz , Trujols Joan , Duran-Sindreu Santiago , Batlle Francesca , Madre Mercè , Mallorquí-Bagué Núria 
Published: May 2024

Abstract
Background
Psychosocial approaches are the first-line treatments for cocaine dependence, although they still present high dropout and relapse rates. Thus, there is a pressing need to understand which variables influence treatment outcomes to improve current treatments and prevent dropout and relapse rates. The aim of this study is to explore predictors of treatment retention and abstinence in CUD.

Methods
This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We searched three databases—PubMed, PsychINFO and Web of Science—for randomized clinical trials (RCTs) published in English and Spanish from database inception through April 1, 2023. We selected all studies that met the inclusion criteria (adults aged ≥ 18, outpatient treatment, CUD as main addiction, and no severe mental illness) to obtain data for the narrative synthesis addressing cocaine abstinence and treatment retention as main outcome variables. After data extraction was completed, risk of bias was assessed using the Cochrane risk-of-bias tool for randomized trials (RoB-2).

Results
A total of 566 studies were screened, and, of those, 32 RCTs were included in the synthesis. Younger age, more years of cocaine use, and craving levels were significant predictors of relapse and treatment dropout. Fewer withdrawal symptoms, greater baseline abstinence, greater treatment engagement, and more self-efficacy were all predictors of longer duration of abstinence. The role of impulsivity as a predictor of CUD is unclear due to conflicting data, although the evidence generally suggests that higher impulsivity scores can predict more severe addiction and withdrawal symptoms, and earlier discontinuation of treatment.

Conclusion
Current evidence indicates which variables have a direct influence on treatment outcomes, including well-studied cocaine use-related variables. However, additional variables, such as genetic markers, appear to have a high impact on treatment outcomes and need further study.

Systematic review registration
This systematic review is registered at PROSPERO (ID: CRD42021271847). This study was funded by the Spanish Ministry of Science, Innovation and Universities, Instituto Carlos III (ISCIII) (FIS PI20/00929) and FEDER funds and Fundació Privada Hospital de la Santa Creu i Sant Pau (Pla d’acció social 2020).
Emerging best strategies and capabilities for university–industry cooperation: opportunities for MSMEs and universities to improve collaboration. A literature review 2000–2023
Authors: Tereshchenko Elizaveta , Salmela Erno , Melkko Elsa , Phang Swee King , Happonen Ari 
Published: May 2024

AbstractContinuous technological development, digitalization, Industry 4.0, robotization, virtualization, and related investments in new types of physical assets are imposing increasing financial and intellectual demands on micro, small, and medium-sized enterprises (MSMEs). While fast technological development and rapid societal change make maintenance of a successful competitive edge ever more challenging, they also offer considerable potential for differentiation. In the area of networking and outside resources, MSMEs can utilize external resources and cooperate and collaborate with higher educational institutions (HEI) to boost their innovations pipeline and develop new technologies and processes to generate commercial products/services and improve their service offering. This research explores existing highly effective university–industry collaboration (UIC) models and seeks explanations for their success by examining the literature from the point of view of establishing successful relationships, emphasizing the importance of critical drivers for success. Our work synthesizes current knowledge of best practices based on a comparative analysis of practical collaboration. In the work, we identify eight popular and successful collaboration models: research and development partnerships, internships and co-op programs, knowledge transfer programs, entrepreneurship, and incubation programs, sponsored projects and grants, joint ventures and licensing agreements, executive education, professional and student career development. Based on analysis of globally reviewed successful models, a concept for robust, productive, and extended collaboration between companies and universities is produced suitable for the Finnish context. Several practical experiences are given for robust collaboration in the current post-COVID transition and energy crisis.
Exploring the genetic control of sweat gland characteristics in beef cattle for enhanced heat tolerance
Authors: Hernandez Aakilah S. , Zayas Gabriel A. , Rodriguez Eduardo E. , Sarlo Davila Kaitlyn M. , Rafiq Fahad , Nunez Andrea N. , Titto Cristiane Gonçalves , Mateescu Raluca G. 
Published: May 2024

Abstract
Background
Thermal stress in subtropical regions is a major limiting factor in beef cattle production systems with around $369 million being lost annually due to reduced performance. Heat stress causes numerous physiological and behavioral disturbances including reduced feed intake and decreased production levels. Cattle utilize various physiological mechanisms such as sweating to regulate internal heat. Variation in these traits can help identify genetic variants that control sweat gland properties and subsequently allow for genetic selection of cattle with greater thermotolerance.

Methods
This study used 2,401 Brangus cattle from two commercial ranches in Florida. Precise phenotypes that contribute to an animal’s ability to manage heat stress were calculated from skin biopsies and included sweat gland area, sweat gland depth, and sweat gland length. All animals were genotyped with the Bovine GGP F250K, and BLUPF90 software was used to estimate genetic parameters and for Genome Wide Association Study.

Results
Sweat gland phenotypes heritability ranged from 0.17 to 0.42 indicating a moderate amount of the phenotypic variation is due to genetics, allowing producers the ability to select for favorable sweat gland properties. A weighted single-step GWAS using sliding 10 kb windows identified multiple quantitative trait loci (QTLs) explaining a significant amount of genetic variation. QTLs located on BTA7 and BTA12 explained over 1.0% of genetic variance and overlap the ADGRV1 and CCDC168 genes, respectively. The variants identified in this study are implicated in processes related to immune function and cellular proliferation which could be relevant to heat management. Breed of Origin Alleles (BOA) were predicted using local ancestry in admixed populations (LAMP-LD), allowing for identification of markers’ origin from either Brahman or Angus ancestry. A BOA GWAS was performed to identify regions inherited from particular ancestral breeds that might have a significant impact on sweat gland phenotypes.

Conclusions
The results of the BOA GWAS indicate that both Brahman and Angus alleles contribute positively to sweat gland traits, as evidenced by favorable marker effects observed from both genetic backgrounds. Understanding and utilizing genetic traits that confer better heat tolerance is a proactive approach to managing the impacts of climate change on livestock farming.
Reliability and validity of the short version of the childhood abuse self report scale in Chinese college students
Authors: Zhang Yali , Zhao Jinxia , Bian Yuewen , Zhang Fuhai 
Published: May 2024

Abstract
Background
The reliability and validity of the current scale for measuring childhood abuse in China are worrying. The development of the Short Version of the Childhood Abuse Self Report Scale (CASRS-12) helps to change this situation, but the effectiveness of the tool has not yet been tested in Chinese participants. This study aims to test the reliability and validity of the CASRS‑12 in Chinese college students.

Methods
A total of 932 college students were investigated, of whom 418 were investigated for the first time, and only the CASRS‑12 was filled out. In the second survey, 514 participants filled out the CASRS‑12, Depression Scale, Self-esteem Scale and Subjective Well-being Scale in turn. After 4 weeks, 109 participants were selected for retest.

Results
Each item of the CASRS‑12 had good discrimination. Exploratory factor analysis and confirmatory factor analysis (χ2/df = 4. 18, RMSEA = 0. 079, CFI = 0. 95, TLI = 0. 94, IFI = 0. 95, NFI = 0. 94) all supported the four-factor structure of the scale, and the cumulative contribution rate of variance was 76.05%. Cronbach’s α coefficient and retest reliability were 0.86 and 0.65, respectively. Childhood abuse was positively correlated with depression (r = 0. 42, p < 0.01), and negatively correlated with self-esteem (r=-0. 33, p < 0.01) and subjective well-being (r=-0. 32, p < 0.01).

Conclusion
The Chinese version of CASRS‑12 meets the measurement standard and could be used to measure the level of childhood abuse of Chinese college students.
Childhood maltreatment, shame, and self-esteem: an exploratory analysis of influencing factors on criminal behavior in juvenile female offenders
Authors: Chen Xiaomei , Dai Bo , Li Shuang , Liu Lili 
Published: May 2024

Abstract
Objective
This study aimed to investigate the relationships between childhood maltreatment, shame, and self-esteem among juvenile female offenders and to explore the potential influencing factors on their criminal behavior.

Methods
Using a stratified cluster sampling method, 1,227 juvenile female offenders from 11 provinces in China were surveyed using the Childhood Trauma Questionnaire (CTQ), Self-Esteem Scale (SES), and a self-developed Shame Questionnaire for Juvenile Offenders. Data were analyzed using descriptive statistics, correlation analysis, chi-square tests, t-tests, and structural equation modeling with mediation analysis.

Results
(1) Childhood maltreatment have a significant potential influencing factors on criminal behavior; (2) Childhood maltreatment was positively correlated with self-esteem(β = 0.351, p < 0.001); (3) shame (β = 0.042, p < 0.001) mediate the relationship between Childhood maltreatment and self-esteem (childhood maltreatment → shame → self-esteem (95% Cl: 0.033, 0.052)).

Conclusion
This study demonstrates that childhood maltreatment is a significant predictor of criminal behavior among juvenile female offenders. childhood maltreatment can directly influence of self-esteem, which can also affect juvenile female offenders’self-esteem indirectly through shame. The findings suggest that shame are important variables that mediate the effect of the juvenile female offenders’childhood maltreatment on their self-esteem.
Amharic spoken digits recognition using convolutional neural network
Authors: Ayall Tewodros Alemu , Zhou Changjun , Liu Huawen , Brhanemeskel Getnet Mezgebu , Abate Solomon Teferra , Adjeisah Michael 
Published: May 2024

AbstractSpoken digits recognition (SDR) is a type of supervised automatic speech recognition, which is required in various human–machine interaction applications. It is utilized in phone-based services like dialing systems, certain bank operations, airline reservation systems, and price extraction. However, the design of SDR is a challenging task that requires the development of labeled audio data, the proper choice of feature extraction method, and the development of the best performing model. Even if several works have been done for various languages, such as English, Arabic, Urdu, etc., there is no developed Amharic spoken digits dataset (AmSDD) to build Amharic spoken digits recognition (AmSDR) model for the Amharic language, which is the official working language of the government of Ethiopia. Therefore, in this study, we developed a new AmSDD that contains 12,000 utterances of 0 (Zaero) to 9 (zet’enyi) digits which were recorded from 120 volunteer speakers of different age groups, genders, and dialects who repeated each digit ten times. Mel frequency cepstral coefficients (MFCCs) and Mel-Spectrogram feature extraction methods were used to extract trainable features from the speech signal. We conducted different experiments on the development of the AmSDR model using the AmSDD and classical supervised learning algorithms such as Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest (RF) as the baseline. To further improve the performance recognition of AmSDR, we propose a three layers Convolutional Neural Network (CNN) architecture with Batch normalization. The results of our experiments show that the proposed CNN model outperforms the baseline algorithms and scores an accuracy of 99% and 98% using MFCCs and Mel-Spectrogram features, respectively.
DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies
Authors: Hu Gang , Song Keke , Li Xiuxiu , Wang Yi 
Published: May 2024

AbstractThe Fennec Fox algorithm (FFA) is a new meta-heuristic algorithm that is primarily inspired by the Fennec fox's ability to dig and escape from wild predators. Compared with other classical algorithms, FFA shows strong competitiveness. The “No free lunch” theorem shows that an algorithm has different effects in the face of different problems, such as: when solving high-dimensional or more complex applications, there are challenges such as easily falling into local optimal and slow convergence speed. To solve this problem with FFA, in this paper, an improved Fenna fox algorithm DEMFFA is proposed by adding sin chaotic mapping, formula factor adjustment, Cauchy operator mutation, and differential evolution mutation strategies. Firstly, a sin chaotic mapping strategy is added in the initialization stage to make the population distribution more uniform, thus speeding up the algorithm convergence speed. Secondly, in order to expedite the convergence speed of the algorithm, adjustments are made to the factors of the formula whose position is updated in the first stage, resulting in faster convergence. Finally, in order to prevent the algorithm from getting into the local optimal too early and expand the search space of the population, the Cauchy operator mutation strategy and differential evolution mutation strategy are added after the first and second stages of the original algorithm update. In order to verify the performance of the proposed DEMFFA, qualitative analysis is carried out on different test sets, and the proposed algorithm is tested with the original FFA, other classical algorithms, improved algorithms, and newly proposed algorithms on three different test sets. And we also carried out a qualitative analysis of the CEC2020. In addition, DEMFFA is applied to 10 practical engineering design problems and a complex 24-bar truss topology optimization problem, and the results show that the DEMFFA algorithm has the potential to solve complex problems.
Dynamic changes of hepatic vein Doppler velocities predict preload responsiveness in mechanically ventilated critically ill patients
Authors: Bruna Mario , Alfaro Sebastian , Muñoz Felipe , Cisternas Liliana , Gonzalez Cecilia , Conlledo Rodrigo , Ulloa-Morrison Rodrigo , Huilcaman Marcos , Retamal Jaime , Castro Ricardo , Rola Philippe , Wong Adrian , Argaiz Eduardo R. , Contreras Roberto , Hernandez Glenn , Kattan Eduardo 
Published: May 2024

Abstract
Background
Assessment of dynamic parameters to guide fluid administration is one of the mainstays of current resuscitation strategies. Each test has its own limitations, but passive leg raising (PLR) has emerged as one of the most versatile preload responsiveness tests. However, it requires real-time cardiac output (CO) measurement either through advanced monitoring devices, which are not routinely available, or echocardiography, which is not always feasible. Analysis of the hepatic vein Doppler waveform change, a simpler ultrasound-based assessment, during a dynamic test such as PLR could be useful in predicting preload responsiveness. The objective of this study was to assess the diagnostic accuracy of hepatic vein Doppler S and D-wave velocities during PLR as a predictor of preload responsiveness.

Methods
Prospective observational study conducted in two medical–surgical ICUs in Chile. Patients in circulatory failure and connected to controlled mechanical ventilation were included from August to December 2023. A baseline ultrasound assessment of cardiac function was performed. Then, simultaneously, ultrasound measurements of hepatic vein Doppler S and D waves and cardiac output by continuous pulse contour analysis device were performed during a PLR maneuver.

Results
Thirty-seven patients were analyzed. 63% of the patients were preload responsive defined by a 10% increase in CO after passive leg raising. A 20% increase in the maximum S wave velocity after PLR showed the best diagnostic accuracy with a sensitivity of 69.6% (49.1–84.4) and specificity of 92.8 (68.5–99.6) to detect preload responsiveness, with an area under curve of receiving operator characteristic (AUC–ROC) of 0.82 ± 0.07 (p = 0.001 vs. AUC–ROC of 0.5). D-wave velocities showed worse diagnostic accuracy.

Conclusions
Hepatic vein Doppler assessment emerges as a novel complementary technique with adequate predictive capacity to identify preload responsiveness in patients in mechanical ventilation and circulatory failure. This technique could become valuable in scenarios of basic hemodynamic monitoring and when echocardiography is not feasible. Future studies should confirm these results.
Rare recurrence pattern after complete response to chemotherapy in a patient with rectal cancer: a case report
Authors: Nomura Masatoshi , Tei Mitsuyoshi , Goto Takayoshi , Hirano Masataka , Nishida Kentaro , Mori Soichiro , Yoshikawa Yukihiro , Tamai Koki , Hamakawa Takuya , Takiuchi Daisuke , Tsujie Masanori , Akamaru Yusuke 
Published: May 2024

Abstract
Background
Colorectal cancer (CRC) often metastasizes to the liver, lungs, lymph nodes, and peritoneum but rarely to the bladder, small intestine, and skin. We here report the rare metastasis of anal cancer in the left bladder wall, followed by metastases to the small intestine and skin, after abdominoperineal resection and left lateral lymph node dissection with chemotherapy in a patient with clinician Stage IVa disease.

Case presentation
A 66-year-old man presented with 1-month history of bloody stool and anal pain and diagnosed with clinical Stage IVa anal cancer with lymph node and liver metastases (cT3, N3 [#263L], M1a [H1]). Systemic chemotherapy led to clinical complete response (CR) for the liver metastasis and clinical near-CR for the primary tumor. Robot-assisted laparoscopic perineal rectal resection and left-sided lymph node dissection were performed. Computed tomography during 18-month postoperative follow-up identified a mass in the left bladder wall, which was biopsied with transurethral resection, was confirmed as recurrent anal cancer by histopathologic evaluation. After two cycles of systemic chemotherapy, partial resection of the small intestine was performed due to bowel obstruction not responding to conservative therapy. The histopathologic evaluation revealed lymphogenous invasion of the muscularis mucosa and subserosa of all sections. Ten months after the first surgery for bowel obstruction and two months before another surgery for obstruction of the small intestine, skin nodules extending from the lower abdomen to the thighs were observed. The histopathologic evaluation of the skin biopsy specimen collected at the time of surgery for small bowel obstructions led to the diagnosis of skin metastasis of anal cancer. Although panitumumab was administered after surgery, the patient died seven months after the diagnosis of skin metastasis.

Conclusions
This case illustrates the rare presentation of clinical Stage IVa anal cancer metastasizing to the bladder wall, small intestine, and skin several years after CR to chemotherapy.
Atrioventricular nodal re-entrant tachycardia with a 2:1 atrioventricular block in a young man: What is the mechanism?
Authors: Pinos Javier , Piedra Diego Serrano 
Published: May 2024

AbstractA 16-year-old man presented with short VA supraventricular tachycardia and 2:1 atrioventricular ratio. The correct maneuvers allowed us to guide not only the mechanism but also the probable location of the atrioventricular block.