bluuebunny/crossref_metadata_2025_split huggingface dataset:
Locked-in syndrome responding to endovascular treatment
Authors: Song Jiaxing , Huang Jiacheng , Li Linyu , Yang Jie , Yue Chengsong , Liu Shuai , Kong Weilin , Luo Xiaojun , Liao Jiasheng , Du Jie , Song Bo , Liu Jiazuo , Tian Xiaolong , Tan Xiaolin , Li Fengli , Zi Wenjie 
Published: August 2022

BackgroundLocked-in syndrome (LiS) is a rare and devastating condition in patients with acute basilar artery occlusion. However, the benefits of endovascular treatment (EVT) for LiS remain unclear.ObjectiveTo assess the outcomes associated with EVT and identify the factors associated with outcomes of LiS.MethodsWe used the data of the Endovascular Treatment for Acute Basilar Artery Occlusion Study Registry (BASILAR) from 47 tertiary stroke centers in China. The included patients had LiS and received EVT or standard medical treatment (SMT) alone. The primary outcome was improvement in the modified Rankin Scale (mRS) score at 90 days.ResultsAmong the 120 patients with LiS, 92 (76.7%) received EVT and 28 (23.3%) received SMT. Compared with SMT, EVT was associated with improved mRS score (common OR (cOR)=2.68 (95% CI 1.16 to 6.20); p=0.02) and decreased mortality (aOR=0.35 (95% CI 0.13 to 0.90); p=0.03). Moreover, the benefit of EVT for LiS was sustained for at least 1 year (p=0.008). Higher baseline posterior circulation Alberta Stroke Prognosis Early CT Score (pc-ASPECTS, aOR=2.04 (95% CI 1.34 to 3.10); p<0.001) and absence of pneumonia (aOR=0.26 (95% CI 0.08 to 0.90); p=0.03) were significantly associated with favorable functional outcome at 90 days in patients who received EVT, while lower pc-ASPECTS (aOR=0.52 (95% CI 0.36 to 0.76); p<0.001) was associated with increased 90-day mortality.ConclusionsThis study found that EVT was associated with favorable functional outcomes and decreased mortality among patients with LiS. Baseline pc-ASPECTS and pneumonia were independent predictors of outcomes.
What I wish I’d known: How experienced physician managers diagnose, treat and prevent disruptive behaviour
Authors: Goodwin Christian , Haas Susan , Berry William 
Published: August 2022

As health systems continue to consolidate at a rapid pace, many physicians are stepping into roles that involve managing other physicians. While more physicians are thrust into these positions each year, the managerial training they receive is highly variable and often insufficient for dealing with the challenges they will face, notably disruptive behaviour. Broadly defined, disruptive behaviour includes any actions that affect a team’s ability to effectively care for patients, and can even threaten patient and provider health. New physician managers--who typically have little prior experience in management roles--need specific supports to address this uniquely daunting challenge.Over our management careers, we have spoken with dozens of new and experienced physician managers to understand how they manage disruptive behaviour in the workplace and to collect their advice for future physician managers. In this paper, we reflect on those conversations and distill them into a three-part approach for diagnosing, treating and preventing disruptive behaviour in the workplace. We describe how the right management approach depends on a thorough assessment of the most likely drivers of the disruptive behaviour. Second, we present strategies for treating the behaviour focusing on the physician leader’s communication skills and available institutional resources. Finally, we advocate for system-level changes that institutions or departments can implement both to prevent disruptive behaviour and to better prepare new managers to address it.
Pilot study of jadomycin B pharmacokinetics and anti-tumoral effects in zebrafish larvae and mouse breast cancer xenograft models
Authors: McKeown Brendan T. , Relja Nicholas J. , Hall Steven R. , Gebremeskel Simon , MacLeod Jeanna M. , Veinotte Chansey J. , Bennett Leah G. , Ohlund Leanne B. , Sleno Lekha , Jakeman David L. , Berman Jason N. , Johnston Brent , Goralski Kerry B. 
Published: August 2022

Despite numerous therapeutic options, multidrug resistance (MDR) remains an obstacle to successful breast cancer therapy. Jadomycin B, a natural product derived from Streptomyces venezuelae ISP5230, maintains cytotoxicity in MDR human breast cancer cells. Our objectives were to evaluate the pharmacokinetics, toxicity, anti-tumoral, and anti-metastatic effects of jadomycin B in zebrafish larvae and mice. In a zebrafish larval xenograft model, jadomycin B significantly reduced the proliferation of human MDA-MB-231 cells at or below its maximum tolerated dose (40 µm). In female Balb/C mice, a single intraperitoneal dose (6 mg/kg) was rapidly absorbed with a maximum serum concentration of 3.4 ± 0.27 µm. Jadomycin B concentrations declined biphasically with an elimination half-life of 1.7 ± 0.058 h. In the 4T1 mouse mammary carcinoma model, jadomycin B (12 mg/kg every 12 h from day 6 to 15 after tumor cell injection) decreased primary tumor volume compared to vehicle control. Jadomycin B-treated mice did not exhibit weight loss, nor significant increases in biomarkers of impaired hepatic (alanine aminotransferase) and renal (creatinine) function. In conclusion, jadomycin B demonstrated a good safety profile and provided partial anti-tumoral effects, warranting further dose-escalation safety and efficacy studies in MDR breast cancer models.
The interactive effect of vitamin D3 supplementation and vitamin D receptor polymorphisms on weight and body composition in overweight women with hypovitaminosis D: a randomized, double-blind, placebo-controlled clinical trial
Authors: Ebrahimof Samira , Angoorani Pooneh , Shab-Bidar Sakineh , Abedidni Somayeh , Jahangir Farzaneh , Hedayati Mehdi 
Published: August 2022

Different responses to vitamin D supplementation may be due to genes involved in vitamin D metabolism, including the vitamin D receptor ( VDR) gene. The present study aimed to determine the interactive effect of vitamin D supplementation and VDR polymorphisms, including FokI (rs2228570) and BsmI (1544410) on weight and body composition in overweight women with hypovitaminosis D. This study comprised two phases: a double-blind, randomized and a before-after clinical trial. In the first phase, 50 healthy overweight women aged 20–45 years with hypovitaminosis D were randomly categorized into intervention and control groups and were given 50 000 IU/w vitamin D3 or placebo for 12 weeks. In the second phase, 75 women received 50 000 IU/w of vitamin D3 for 12 weeks. All variables were measured at baseline and after 12 weeks. Circulating 25(OH)D was measured using an ELISA kit. Anthropometric indices were calculated according to standard protocol (WHO-TRH-854). Body composition was determined using the body impedance analysis method. The VDR polymorphisms were detected using the PCR sequence. Supplementation resulted in a significant increase in the level of 25(OH)D in the intervention group but did not affect the anthropometric profile of the subjects. When considering FokI genotypes, carriers of the FF genotype had higher fat mass reduction than carriers of Ff + ff genotypes.
News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization
Authors: Cicchini Tomas , del Pozo Sofia Morena , Tagliazucchi Enzo , Balenzuela Pablo 
Published: August 2022

AbstractNews sharing on social networks reveals how information disseminates among users. This process, constrained by user preferences and social ties, plays a key role in the formation of public opinion. In this work, we used bipartite news-user networks to study the news sharing behavior of main Argentinian media outlets in Twitter. Our objective was to understand the role of political polarization in the emergence of high affinity groups with respect to news sharing. We compared results between years with and without presidential elections, and between groups of politically active and inactive users, the latter serving as a control group. The behavior of users resulted in well-differentiated communities of news articles identified by a unique distribution of media outlets. In particular, the structure of these communities revealed the dominant ideological polarization in Argentina. We also found that users formed two groups identified by their consumption of media outlets, which also displayed a bias towards the two main parties that dominate the political life in Argentina. Overall, our results consistently identified ideological polarization as a main driving force underlying Argentinian news sharing behavior in Twitter.
Multiple positive and sign-changing solutions for a class of Kirchhoff equations
Authors: Li Benniao , Long Wei , Xia Aliang 
Published: August 2022

This paper is concerned with the existence of multiple non-radial positive and sign-changing solutions for the following Kirchhoff equation: [Formula: see text] where [Formula: see text] are constants, [Formula: see text], [Formula: see text] is a parameter, and [Formula: see text] is a potential function. Under the assumption on [Formula: see text] with exponential decay at infinity, we construct multi-peak positive and sign-changing solutions for problem (0.1) as [Formula: see text] (or [Formula: see text]), where the peaks concentrate at infinity.
Machine Learning for Predicting Hyperglycemic Cases Induced by PD-1/PD-L1 Inhibitors
Authors: Yang Jincheng , Li Ning , Lin Weilong , Shi Liming , Deng Ming , Tong Qin , Yang Wenjing 
Published: August 2022

Objective. Immune checkpoint inhibitors, such as programmed death-1/ligand-1 (PD-1/L1), exhibited autoimmune-like disorders, and hyperglycemia was on the top of grade 3 or higher immune-related adverse events. Machine learning is a model from past data for future data prediction. From post-marketing monitoring, we aimed to construct a machine learning algorithm to efficiently and rapidly predict hyperglycemic adverse reaction in patients using PD-1/L1 inhibitors. Methods. In original data downloaded from Food and Drug Administration Adverse Event Reporting System (US FAERS), a multivariate pattern classification of support vector machine (SVM) was used to construct a classifier to separate adverse hyperglycemic reaction patients. With correct core SVM function, a 10-fold 3-time cross validation optimized parameter value composition in model setup with R language software. Results. The SVM prediction model was set up from the number type/number optimization method, as well as the kernel and type of “rbf” and “nu-regression” composition. Two key values (nu and gamma) and case number displayed high adjusted r2 in curve regressions (

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0.5649
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−

case

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, gamma
=
9.005
×

10

−
4

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−
4.877
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−
8

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2

). This SVM model with computable parameters greatly improved the assessing indexes (accuracy, F1 score, and kappa) as well as coequal sensitivity and the area under the curve (AUC). Conclusion. We constructed an effective machine learning model based on compositions of exact kernels and computable parameters; the SVM prediction model can noninvasively and precisely predict hyperglycemic adverse drug reaction (ADR) in patients treated with PD-1/L1 inhibitors, which could greatly help clinical practitioners to identify high-risk patients and perform preventive measurements in time. Besides, this model setup process provided an analytic conception for promotion to other ADR prediction, such ADR information is vital for outcome improvement by identifying high-risk patients, and this machine learning algorithm can eventually add value to clinical decision making.
Pharmacologic Inhibition of SHP2 Blocks Both PI3K and MEK Signaling in Low-epiregulin HNSCC via GAB1
Authors: Kurupi Richard , Floros Konstantinos V. , Jacob Sheeba , Chawla Ayesha T. , Cai Jinyang , Hu Bin , Puchalapalli Madhavi , Coon Colin M. , Khatri Rishabh , Crowther Giovanna Stein , Egan Regina K. , Murchie Ellen , Greninger Patricia , Dalton Krista M. , Ghotra Maninderjit S. , Boikos Sosipatros A. , Koblinski Jennifer E. , Harada Hisashi , Sun Yue , Morgan Iain M. , Basu Devraj , Dozmorov Mikhail G. , Benes Cyril H. , Faber Anthony C. 
Published: August 2022

Preclinical and clinical studies have evidenced that effective targeted therapy treatment designed against receptor tyrosine kinases (RTKs) in different solid tumor paradigms is predicated on simultaneous inhibition of both the PI3K and MEK intracellular signaling pathways. Indeed, reactivation of either pathway results in resistance to these therapies. Recently, oncogenic phosphatase SHP2 inhibitors have been developed with some now reaching clinical trials. To expand on possible indications for SHP099, we screened over 800 cancer cell lines covering over 25 subsets of cancer. We found head and neck squamous cell carcinoma (HNSCC) was the most sensitive adult subtype of cancer to SHP099. We found that, in addition to the MEK pathway, SHP2 inhibition blocks the PI3K pathway in sensitive HNSCCs, resulting in downregulation of mTORC signaling and antitumor effects across several HNSCC mouse models, including an human papillomavirus (HPV+) patient-derived xenograft. Importantly, we found low levels of the RTK ligand epiregulin identified HNSCCs that were sensitive to SHP2 inhibitor, and, adding exogenous epiregulin mitigated SHP099 efficacy. Mechanistically, epiregulin maintained SHP2–GAB1 complexes in the presence of SHP2 inhibition, preventing downregulation of the MEK and PI3K pathways. In the presence of SHP2 inhibitor, HNSCCs are highly dependent on GAB1 for their survival and knockdown of GAB1 is sufficient to block the ability of epiregulin to rescue MEK and PI3K signaling. These data connect the sensitivity of HNSCC to SHP2 inhibitors and to a broad reliance on GAB1-SHP2, revealing an important and druggable signaling axis. Overall, SHP2 inhibitors are being heavily developed and may have activity in HNSCCs, and in particular those with low levels of epiregulin.Significance:This work identifies a novel role of SHP2 inhibitor by dual downregulation of PI3K and MEK pathways, through loss of GAB1 activation and disruption of GAB1 complexes in low-epiregulin HNSCC.
The MDM2 Inhibitor Navtemadlin Arrests Mouse Melanoma GrowthIn Vivoand Potentiates Radiotherapy
Authors: Ingelshed Katrine , Spiegelberg Diana , Kannan Pavitra , Påvénius Linnéa , Hacheney Jessica , Jiang Long , Eisinger Silke , Lianoudaki Danai , Lama Dilraj , Castillo Francisca , Bosdotter Cecilia , Kretzschmar Warren W. , Al-Radi Omayma , Fritz Nicolas , Villablanca Eduardo J. , Karlsson Mikael C. I. , Wermeling Fredrik , Nestor Marika , Lane David P. , Sedimbi Saikiran K. 
Published: August 2022

The tumor suppressor protein p53 is mutated in close to 50% of human tumors and is dysregulated in many others, for instance by silencing or loss of p14ARF. Under steady-state conditions, the two E3 ligases MDM2/MDM4 interact with and inhibit the transcriptional activity of p53. Inhibition of p53–MDM2/4 interaction to reactivate p53 in tumors with wild-type (WT) p53 has therefore been considered a therapeutic strategy. Moreover, studies indicate that p53 reactivation may synergize with radiation and increase tumor immunogenicity. In vivo studies of most MDM2 inhibitors have utilized immunodeficient xenograft mouse models, preventing detailed studies of action of these molecules on the immune response. The mouse melanoma cell line B16-F10 carries functional, WT p53 but does not express the MDM2 regulator p19ARF. In this study, we tested a p53-MDM2 protein–protein interaction inhibitor, the small molecule Navtemadlin, which is currently being tested in phase II clinical trials. Using mass spectrometry–based proteomics and imaging flow cytometry, we identified specific protein expression patterns following Navtemadlin treatment of B16-F10 melanoma cells compared with their p53 CRISPR-inactivated control cells. In vitro, Navtemadlin induced a significant, p53-dependent, growth arrest but little apoptosis in B16-F10 cells. When combined with radiotherapy, Navtemadlin showed synergistic effects and increased apoptosis. In vivo, Navtemadlin treatment significantly reduced the growth of B16-F10 melanoma cells implanted in C57Bl/6 mice. Our data highlight the utility of a syngeneic B16-F10 p53+/+ mouse melanoma model for assessing existing and novel p53-MDM2/MDM4 inhibitors and in identifying new combination therapies that can efficiently eliminate tumors in vivo.Significance:The MDM2 inhibitor Navtemadlin arrests mouse tumor growth and potentiates radiotherapy. Our results support a threshold model for apoptosis induction that requires a high, prolonged p53 signaling for cancer cells to become apoptotic.
Modeling and parameter estimation of solar photovoltaic based MPPT control using EKF to maximize efficiency
Authors: Kerid Rachid , Bounnah Younes 
Published: August 2022

In this paper, we focus on the design, modeling and implementation of a MPPT controller based maximum power tracking of photovoltaic system. The electrical characteristic of The PV system is non-linear and changes with the solar irradiation and the ambient temperature. Therefore, the incremental conductance (IC) method control is known for its stability and robustness, and is used to extract the maximum energy from the PV source using a boost converter topology. It provides a strong basis for the improvement and optimization of control parameters of a photovoltaic system. Implementing MPPT algorithm usually need the use of a lot of sensors if accuracy of the system has to be increased. However, IC method with an extended Kalman ﬁlter (EKF) can be utilized in order to estimate some parameters to reduce the number of Sensors. The EKF is deployed in the optimal position to estimate both current and the capacitor voltage, thus allowing to eliminate two sensors devise from the entire PV system, which increases the system efficiency and reliability, simplifies the control method and decreases the system cost. The performance of the proposed technique is validated by experimental and simulation results under different operating conditions and load changes.
Proportional-integral-derivative controller design for time-delay systems via stability region centroid
Authors: Ajiboye Aye Taiwo , Opadiji Jayeola Femi , Popoola Olusogo Joshua , Yusuf Abdulrahman Olalekan , Adebayo Olalekan Femi , Olawole Esther Toyin 
Published: August 2022

Design of proportional-integral-derivative (PID) controller with proportional, integral, and derivative gains given by , and respectively, for time-delay systems is presented in this study. The centroid of the convex stability region (CCSR) method in the - plane for fixed is used. PID controller design for time-delay systems in the - plane for a fixed and - plane for a fixed have been extensively researched. Despite the amenability of CCSR method to design of PID controller in the - plane for fixed , its application in this regard has not been given serious attention. The stability region in - plane for fixed was determined and the required controller gains in the region were determined using the CCSR method. Using the determined controller gains, the system closed loop unit step response for all the considered regions was plotted on same axes. Based on the obtained results, different combinations of controller gains can be implemented depending on the system time domain performance measures (TDPMs) requirements. However, selection of an appropriate controller gains combinations, requires compromise among any of the conflicting TDPMs.
Iraqi EFL teachers’ perception towards Google Classroom
Authors: Ugla Raed Latif , Abdullah Mohammed Najim 
Published: August 2022

<p>Nowadays, information technology (IT) based educational applications (Moodle, Google Classroom, and Zoom) are available for both teachers and students. This study aimed to identify Iraqi English as a foreign language (EFL) teachers’ perception towards using Google Classroom at the university level. A qualitative research design (case study) was employed in this study. The researcher asked six Iraqi EFL teachers as volunteers to participate in this study. Those participants are working at different Iraqi universities. A semi-structured interview was used to get the data from those participants. Six phases of analysis were adopted to analyze the elicited data. The results revealed that Google Classroom is very important in EFL teaching and learning at tertiary level. This application has many advantages in teaching EFL students such as it enables students to find the lectures whenever they need them, encourages students to participate, speak, and comment freely and effectively without hesitations especially those who have some psychological problems like shyness. On the other hand, it has many disadvantages too such as it focuses on listening, writing, and watching skills and ignores the direct interaction between teachers and students, which could take place in the normal classes. </p>
Video-based multimedia on learners’ attitude towards astrophysics: Gender equity and school location
Authors: Tugirinshuti Gabriel Janvier , Mugabo Leon Rugema , Banuza Alexis 
Published: August 2022

<p class="Abstract">Educational literature is richly provided with research confirming the benefits of video-based multimedia (VBM) in education. So, understanding learners’ attitude about learning using video-based multimedia makes sense. A convergent parallel mixed methods research design was used to analyze and interpret learners’ attitudes in the context of learning astrophysics using video-based multimedia. The research involved 294 students (168 male and 126 female) of senior five (grade 11) who purposively selected from eight public secondary schools in Rutsiro and Rubavu districts, Rwanda. Data were collected using a questionnaire (Cronbach alpha=.87), a semi-structured interview, and class observation. Quantitative data were analyzed using descriptive statistics and t-test (P level of significance) while content analysis was employed to analyze qualitative data. The findings revealed that there is no significant difference between male and female attitudes towards the use of video-based multimedia in learning astrophysics. Besides, the geographical location of the school influences the learners’ attitude. The results revealed some factors that affect learners’ attitudes towards learning astrophysics using video-based multimedia. Moreover, the findings recommend how the identified challenges could be alleviated not only in the Rwandan but in other science subjects worldwide. </p>
Education sector risk assessment in the time of pandemic
Authors: Ignacio Hasmin T. , Alinsunod Jennifer P. , De Guzman Heronafine C. , Esponilla II Francisco D. 
Published: August 2022

<span lang="EN-US">The study explored school teachers, school administrators, and staff exposure to the COVID-19 virus in the workplace, the risk reduction practices of their organizations, organization response to those workers who were found positive of Coronavirus, and lastly the respondents’ suggestions to help their organization protect their employees. The study used a researcher-made risk assessment questionnaire, through Google Forms. The questionnaire was used in 25 selected respondent schools in the Philippines. The study revealed that the majority of the respondents were adopting the work from home, the rest of the respondents are reporting to school 1 up to 6 days a week. There are three major categories in handling the COVID-19 positive person such as implementation of health protocols, support to dimension of wellness, quick and immediate response. Moreover, the top three suggestions of the respondents are: i) Embrace new normal (appointments, enrolment, admission, and other transactions should be online); ii) Regularly provide vitamins, health kits, face masks, face shields, alcohol, and other medical supplies; iii) Provide training and webinars on health, safety training, mental health awareness, and online teaching. </span>