bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digitalization of education and mental health
Authors: Shilko R. , Egorov S. , Zinchenko Y. 
Published: February 2022

IntroductionVarious social problems, financial difficulties and academic factors contribute to the fact that more and more students around the world experience mental health problems (Chen et al., 2013; Gotlib et al., 2019). On the other hand, all the sides of students’ lives – from education to family relationships – are mediated by information communication technologies, that may have broad and ambiguous influence on students mental health. What is undoubtedly that youth mental health can no longer be considered without touching on the digitalization, including in education.ObjectivesThe current study aims to point up positive and negative examples of intersection of education digitalization and mental health of modern youth.MethodsTheoretical analysis of research publications and conceptualization of practical applications in education mediated by digital technologies.ResultsA striking example of the negative impact of total digitalization of education was the sharp deterioration in mental health in the context of the transition to fully distant learning in conditions of the spread of coronavirus infection. Positive education as teaching form for both traditional skills and positive functioning and happiness provides a broad opportunities to combine the concepts of positive psychology with cutting-edge high-tech education approaches.ConclusionsDigitalization of modern education can be accompanied by both mental health risks and new opportunities. Mental health support can be based on finding information about good functioning, learning and participating in community activities that are provided through websites and mobile applications. The reported study was funded by the Russian Foundation for Basic Research, project number 18-29-22049.
Comparison of neuropsychological profiles in children and adolescent with anorexia nervosa and avoidant/restrictive food intake disorder (ARFID)
Authors: Basile C. , Gigliotti F. , Colaiori M. , Santo F. Di , Terrinoni A. , Ardizzone I. , Sabatello U. 
Published: February 2022

IntroductionAnorexia Nervosa (AN) is an eating disorder characterized by low body weight, fear of gaining weight and distorted perception of body. Patients have rigidity, repetition of thoughts, alterations in decision-making skills and poor ability to provide new solutions. Avoidant/Restrictive Food Intake Disorder (ARFID) is a new eating disorder characterized by the absence of distress about body shape or fear of weight gain. Studies on neurocognitive aspects are few and no effective treatments are known.ObjectivesThe aim of our study was to further investigate the executive functions’ domains in AN and ARFID children and adolescents, to provide possible distinct neurocognitive traits in these patients.MethodsAN or ARFID patients (15 + 15; range 6-18 years), were assessed by neuropsychological tools, such as: Wechsler Intelligence Scale to measure I.Q. profile, NEPSY-II to explore attention and executive functions, Tower of London test to detect planning and problem solving abilities, the Bells Test to evaluate visual selective and focused attention, the Wisconsing Card Sorting Test (WCST) for assessment of flexibility and directing behaviors by achieving a goal and the Rey-Osterrieth complex figure test (ROCF) to assess visual-spatial abilities.ResultsPatients with ARFID presented impairments in several executive functions domains, with difficulties in the impulse inhibition, in the sustained attention and in visual-spatial skills. Finally, in their anamnesis a higher comorbidity with neurodevelopmental disorders such as specific learning disorder has been underlined.ConclusionsThe identification of specific deficit in neuropsychological profile of ARFID patients could be a rehabilitation target, together with standardized treatment.
Role of oxytocin in modulating addictive behaviour
Authors: Bach P. , Koopmann A. , Kiefer F. 
Published: February 2022

BackgroundThe brain oxytocin system is involved in a wide range of addictive behaviors, inhibiting prime- and cue-induced relapse in preclinical models of substance use disorders. Animal studies linked oxytocin’s effects on drug ingestion to modulation of neurotransmission in the nucleus accumbens (NAc). We set out to investigate whether oxytocin can modulate alcohol cue-induced functional connectivity between the brain reward system and cortical regions.MethodsFifteen male heavy social drinkers were enrolled in a randomized double-blind placebo-controlled cross-over functional magnetic resonance imaging study (fMRI) investigating the effect of 24 IU oxytocin on alcohol cue-modulated functional connectivity.ResultsResults of the functional connectivity analyses show that oxytocin application significantly reduced connectivity between the NAc and cuneus and thalamo-occipital connectivity, while enhancing connectivity between the paracingulate gyrus and precentral gyrus (tow-sided seed-level false discovery rate pFDR < 0.05). These effects were specific to the alcohol presentation and were absent during processing of neutral pictures. In addition, the NAc-cuneus connectivity significantly correlated with subjective alcohol cue-induced craving during the scanning session (r = 0.538, p = 0.024). Conclusion: Results provide initial evidence for condition-specific and significant attenuation of NAc connectivity by oxytocin in a sample of heavy social drinkers that was related to lower subjective alcohol craving during the fMRI task. Oxytocin-induced attenuation of NAc connectivity was specific to processing alcohol stimuli and might reflect an attenuation of alcohol-cue saliency by oxytocin that could lead to a reduction of the sensitivity towards the appetitive aspects of alcohol cues.DisclosureNo significant relationships.
A Novel Artificial Intelligence–Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers
Authors: Huang Wei , Randhawa Ramandeep , Jain Parag , Hubbard Samuel , Eickhoff Jens , Kummar Shivaani , Wilding George , Basu Hirak , Roy Rajat 
Published: February 2022

PURPOSE To develop a novel artificial intelligence (AI)–powered method for the prediction of prostate cancer (PCa) early recurrence and identification of driver regions in PCa of all Gleason Grade Group (GGG). MATERIALS AND METHODS Deep convolutional neural networks were used to develop the AI model. The AI model was trained on The Cancer Genome Atlas Prostatic Adenocarcinoma (TCGA-PRAD) whole slide images (WSI) and data set (n = 243) to predict 3-year biochemical recurrence after radical prostatectomy (RP) and was subsequently validated on WSI from patients with PCa (n = 173) from the University of Wisconsin-Madison. RESULTS Our AI-powered platform can extract visual and subvisual morphologic features from WSI to identify driver regions predictive of early recurrence of PCa (regions of interest [ROIs]) after RP. The ROIs were ranked with AI-morphometric scores, which were prognostic for 3-year biochemical recurrence (area under the curve [AUC], 0.78), which is significantly better than the GGG overall (AUC, 0.62). The AI-morphometric scores also showed high accuracy in the prediction of recurrence for low- or intermediate-risk PCa—AUC, 0.76, 0.84, and 0.81 for GGG1, GGG2, and GGG3, respectively. These patients could benefit the most from timely adjuvant therapy after RP. The predictive value of the high-scored ROIs was validated by known PCa biomarkers studied. With this focused biomarker analysis, a potentially new STING pathway–related PCa biomarker—TMEM173—was identified. CONCLUSION Our study introduces a novel approach for identifying patients with PCa at risk for early recurrence regardless of their GGG status and for identifying cancer drivers for focused evolution-aware novel biomarker discovery.
Efficacy and Safety of Sintilimab Plus Anlotinib for PD-L1–Positive Recurrent or Metastatic Cervical Cancer: A Multicenter, Single-Arm, Prospective Phase II Trial
Authors: Xu Qin , Wang Junjie , Sun Yang , Lin Yibin , Liu Jing , Zhuo Yanhong , Huang Zhangzhou , Huang Songhua , Chen Ying , Chen Li , Ke Meifang , Li Li , Li Zirong , Pan Junping , Song Yanwen , Liu Rongqiang , Chen Chuanben 
Published: February 2022

PURPOSE No combined immunotherapy and antiangiogenic therapy have been investigated in exclusively programmed death-ligand 1 (PD-L1)–positive advanced cervical cancer (CA). We investigated the efficacy and safety of sintilimab plus anlotinib as second-line or later therapy for PD-L1–positive recurrent or metastatic (R/M) CA. PATIENTS AND METHODS Patients with PD-L1–positive (Combined Positive Score ≥ 1) R/M CA who progressed after at least one prior systemic chemotherapeutic regimen or could not tolerate chemotherapy were eligible for the phase II trial. The patients received 200 mg sintilimab once on day 1 and 10 mg anlotinib once daily on days 1-14 every 3 weeks. The primary end point was investigator-confirmed objective response rate (ORR) per RECIST v1.1. Secondary end points included progression-free survival (PFS), overall survival, and disease control rate. Biomarkers were explored. RESULTS Forty-two patients were enrolled. The ORR was 54.8% (95% CI, 38.7 to 70.2). In 39 efficacy-evaluable patients, the ORR was 59.0% (95% CI, 42.1 to 74.4); the disease control rate was 94.9% (95% CI, 82.7 to 99.4). The median PFS was 9.4 months (95% CI, 8.0 to 14.6). The median overall survival was not reached. Furthermore, 85.8% of the patients experienced treatment-related adverse events. The most frequent treatment-related adverse events were hypothyroidism (33.3%), elevated aspartate aminotransferase levels (21.4%), and hypertension (19.0%). Patients with altered PIK3CA, PI3K-AKT signaling, or KMT2D had a higher ORR, whereas those with altered STK11 and/or JAK2 had a significantly shorter PFS. CONCLUSION Sintilimab plus anlotinib as second-line or later therapy is efficacious and safe for patients with advanced CA who have failed prior chemotherapy.
Downstream events initiated by expression of FSHD-associated DUX4: Studies of nucleocytoplasmic transport, γH2AX accumulation, and Bax/Bak-dependence
Authors: Masteika Isabel F. , Sathya Anvitha , Homma Sachiko , Miller Bess M. , Boyce Frederick M. , Miller Jeffrey Boone 
Published: February 2022

ABSTRACTAbnormal expression in skeletal muscle of the double homeobox transcription factor DUX4 underlies pathogenesis in facioscapulohumeral muscular dystrophy (FSHD). Though multiple changes are known to be initiated by aberrant DUX4 expression, the downstream events initiated by DUX4 remain incompletely understood. In this study, we examined plausible downstream events initiated by DUX4. First, we found that nucleocytoplasmic protein export appeared to be decreased upon DUX4 expression as indicated by nuclear accumulation of a shuttle-GFP reporter. Second, building on studies from other labs, we showed that phospho(Ser139)-H2AX (γH2AX), an indicator of double-strand DNA breaks, accumulated both in human FSHD1 myotube nuclei upon endogenous DUX4 expression and in Bax-/-;Bak-/- (double knockout), SV40-immortalized mouse embryonic fibroblasts upon exogenous DUX4 expression. In contrast, DUX4-induced caspase 3/7 activation was prevented in Bax-/-;Bak-/- double knockout SV40-MEFs, but not by single knockouts of Bax, Bak, or Bid. Thus, aberrant DUX4 expression appeared to alter nucleocytoplasmic protein transport and generate double-strand DNA breaks in FSHD1 myotube nuclei, and the Bax/Bak pathway is required for DUX4-induced caspase activation but not γH2AX accumulation. These results add to our knowledge of downstream events induced by aberrant DUX4 expression and suggest possibilities for further mechanistic investigation.
Visible Light-induced Emission Enhancement in Aggregates of an Azobenzene Derivative
Authors: Okaji Miho , Yamauchi Mitsuaki , Masuo Sadahiro 
Published: February 2022

Abstract
The aggregation-induced emission (AIE) behaviors of an azobenzene derivative with two naphthalenes were studied by spectroscopic and microscopic measurements. The trans-azobenzene derivative exhibited clear AIE due to ordered aggregation, whereas the cis isomer did not show such AIE because it was a liquid. The nonemissive cis isomers in the liquid state underwent photoisomerization into trans isomers upon visible light irradiation, leading to emission enhancement due to the formation of ordered aggregates of trans isomers.
Association between the body mass index, waist circumference, and body fat percentage with erosive esophagitis in adults with obesity after sleeve gastrectomy
Authors: Zevallos-Ventura Alba S. , de la Cruz-Ku Gabriel , Runzer-Colmenares Fernando M. , Pinto-Elera Jesús , Toro-Huamanchumo Carlos J. 
Published: February 2022

Background: High anthropometric indexes before sleeve gastrectomy (SG) are associated with an increased risk of erosive esophagitis (EE) in bariatric surgery candidates. Reasons that explain how these indexes influence the development of esophageal pathology after surgery remains unclear. Objectives: To assess the association between the body mass index (BMI), waist circumference (WC), and body fat percentage (BFP) with the development of EE in adults with obesity three months after SG. Setting: Clínica Avendaño, Lima, Peru. Methods: Retrospective cohort using a database including adults with obesity who underwent SG during 2017-2020. All the patients included had an endoscopy before and after the surgery. Sociodemographic, clinical and laboratory characteristics were compared according to BMI, WC and BFP, as well as by the development of de novo esophagitis. The association was evaluated by crude and adjusted generalized linear models with the log-Poisson family. Results: From a total of 106 patients, 23 (21.7%) developed EE. We did not find significant differences in sociodemographic, clinical and laboratory characteristics between patients with de novo EE compared to those who did not develop EE. After adjustment, BMI (aRR = 0.59, 95% CI = 0.18-1.40), BFP (aRR = 0.41, 95% CI = 0.15-1.19) and WC (aRR = 0.91, 95% CI = 0.69-1.16) were not associated with the development of EE three months post SG. Conclusions: We found no association between preoperative anthropometric indexes and the development of de novo EE; therefore, morbid obesity should not be a criterion to exclude the patients to undergo SG as primary surgery because of the risk of developing EE.
COVID-19: Comparison of immunogenicity response between natural and post-vaccination infections
Authors: Rotty Ivonne Elisabeth , Kristanto Erwin , Sekeon Sekplin , Liwe Henny Ruth , Ekawardani Neni 
Published: February 2022

Background: The COVID-19 pandemic in Indonesia has been ongoing for a year as at time of writing, since March 2020. Vaccination interventions are public health efforts that are arguably the most effective in the current pandemic situation, in addition to routine health protocols. Until now, there have been few reports of the effectiveness of vaccination and antibody titers formed after vaccination is carried out. This study aims to find out the difference in antibody titers after vaccination in confirmed COVID-19 cases. Methods: This observational study investigated the difference in SARS-Cov-2 quantitative antibody titers between two cohorts: unvaccinated COVID patients who were confirmed -with COVID-19 and individuals undergoing vaccination at the hospital Prof. dr. R. D. Kandou Manado. Inclusion and exclusion criteria, statistical analysis, and research ethics were applied in the study. Results: Antibody titers in survivor groups were relatively lower at 56 days and 84 days after COVID-19 diagnosis, while the antibody titer in the elderly group undergoing vaccination relatively increased at 56 days and 84 days after the first vaccination. There was a significant difference in antibody titers between a group of survivors and those who underwent vaccination on the first (28 days) and third (84 days). Conclusions: From this study, it was found that in the naturally COVID-19-infected group, antibody titers were still found for 84 days after COVID-19 diagnosis. In the group undergoing vaccination, it was found that antibody titers increased significantly at 56 days after vaccination.
Eco-geographic patterns of child malnutrition in India and its association with cereal cultivation: An analysis using demographic health survey and agriculture datasets
Authors: Sanjeev Rama Krishna , Nuggehalli Srinivas Prashanth , Krishnan Bindu , Basappa Yogish Channa , Dinesh Akshay S. , Ulahannan Sabu K. 
Published: February 2022

Background: High prevalence of maternal malnutrition, low birth-weight and child malnutrition in India contribute substantially to the global malnutrition burden. Rural India has disproportionately higher levels of child malnutrition. Stunting and wasting are the primary determinants of child malnutrition and their district-level distribution shows clustering in different geographies and regions. Cereals, particularly millets, constitute the bulk of protein intake among the poor, especially in rural areas in India where high prevalence of wasting persists. Methods: The previous round of National Family Health Survey (NFHS4) has disaggregated data by district, enabling a more fine-scale characterisation of the prevalence of markers of malnutrition. We used data from NFHS4 and agricultural statistics datasets to analyse relationship of prevalence of malnutrition at the district level and area under cereal cultivation. We analysed malnutrition through data on under-5 stunting and wasting by district. Results: Stunting and wasting patterns across districts show a distinct geographical and age distribution; districts with higher wasting showed relatively higher prevalence at six months of age. Wasting prevalence at district level was associated with higher cultivation of millets, with a stronger association seen for jowar and other millets (Kodo millet, little millet, proso millet, barnyard millet and foxtail millet). District level stunting was associated with higher district level cultivation of wheat. In multivariable analysis, wasting was positively associated with women’s body mass index and stunting with women’s short stature. Conclusions: Well-designed intervention studies will be required to confirm causal pathways contributing to ecogeographic patterns of child malnutrition. The cultivation of other millets has a strong association with prevalence of wasting. State-of-the-art studies that improve our understanding of bio-availability of amino acids and other nutrients from the prevalent dietary matrices of rural poor communities will be needed to confirm causal pathways contributing to potential eco-geographic patterns.
Negotiations in Competing Supply Chains: The Kalai-Smorodinsky Bargaining Solution
Authors: Feng Qi , Li Yuanchen , Shanthikumar J. George 
Published: February 2022

Supply chain contract negotiation has gained increasing attention in recent years, and the studies involving negotiations in the operations literature almost exclusively apply the concept of the Nash bargaining (NB) solution. The NB solution, however, is derived based on the axiom of independence of irrelevant alternatives (IIA), an unrealistic assumption in many contexts. Indeed, our analysis suggests that the NB solution can lead to unreasonable negotiation outcomes in supply chains with horizontal competition. As an alternative, the Kalai-Smorodinsky (KS) solution has been applied in many fields but has not been introduced to the supply chain contexts. The KS solution is derived under the axiom of individual monotonicity in replacement of the IIA axiom. We perform a comprehensive comparison of contract negotiations under the KS and NB solutions in horizontally competing supply chains. Although the KS solution does not possess the flexibility of explicitly specifying the relative bargaining power as the NB solution does, the KS solution can appropriately capture the negotiation power shift induced by the decision ownership, the negotiation sequence, the vertical relationship, the competition intensity, the trade contingency, and the contract type. Our study sheds lights on the appropriate selection of solution concepts in studying negotiations in competing supply chains.This paper was accepted by David Simchi-Levi, operations management.
Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata vs. User-Centric
Authors: Alaei Saeed , Makhdoumi Ali , Malekian Azarakhsh , Pekeč Saša 
Published: February 2022

We consider a two-sided streaming service platform that generates revenues by charging users a subscription fee for unlimited access to the content and compensates content providers (artists) through a revenue-sharing allocation rule. Platform users are heterogeneous in both their overall consumption and the distribution of their consumption over different artists. We study two primary revenue allocation rules used by market-leading music streaming platforms—pro-rata and user-centric. With pro-rata, artists are paid proportionally to their share of the overall streaming volume, whereas with user-centric, each user’s subscription fee is divided proportionally among artists based on the consumption of that user. We characterize when these two allocation rules can sustain a set of artists on the platform and compare them from both the platform’s and the artists’ perspectives. In particular, we show that, despite the cross-subsidization between low- and high-streaming-volume users, the pro-rata rule can be preferred by both the platform and the artists. Furthermore, the platform’s problem of selecting an optimal portfolio of artists is NP-complete. However, by establishing connections to the knapsack problem, we develop a polynomial time approximation scheme (PTAS) for the optimal platform’s profit. In addition to determining the platform’s optimal revenue allocation rule in the class of pro-rata and user-centric rules, we consider the optimal revenue allocation rule in the class of arbitrary rules. Building on duality theory, we develop a polynomial time algorithm that outputs a set of artists so that the platform’s profit is within a single artist’s revenue from the optimal profit. This paper was accepted by Gabriel Weintraub, revenue management and market analytics. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2022.4307 .
A Strongly Polynomial Algorithm for Linear Exchange Markets
Authors: Garg Jugal , Végh László A. 
Published: February 2022

We present a strongly polynomial algorithm for computing an equilibrium in Arrow-Debreu exchange markets with linear utilities. Our algorithm is based on a variant of the weakly polynomial Duan–Mehlhorn (DM) algorithm. We use the DM algorithm as a subroutine to identify revealed edges—that is, pairs of agents and goods that must correspond to the best bang-per-buck transactions in every equilibrium solution. Every time a new revealed edge is found, we use another subroutine that decides if there is an optimal solution using the current set of revealed edges or, if none exists, finds the solution that approximately minimizes the violation of the demand and supply constraints. This task can be reduced to solving a linear program (LP). Even though we are unable to solve this LP in strongly polynomial time, we show that it can be approximated by a simpler LP with two variables per inequality that is solvable in strongly polynomial time. Funding: Financial support from the Division of Computing and Communication Foundations, National Science Foundation (NSF) [Grants 1755619 and 1942321] and from European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme [Grant ScaleOpt-757481] is gratefully acknowledged.