bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensory phenotypes of chronic pain in critically ill patients: a prospective observational study
Authors: Spasova Arina P. , Mironov A. V. , Dorozhenko A. M. , Barysheva O. Yu. , Tikhova G. P. 
Published: October 2023

INTRODUCTION: Determining sensory phenotypes that reflect underlying pain mechanisms may be relevant for critically ill patients with chronic pain. OBJECTIVE: To evaluate the intensity, localization and sensory phenotypes of chronic pain in critically ill patients. MATERIALS AND METHODS: The study included 99 critically ill patients. Inclusion criteria: age 18–75 years, length of stay in the ICU > 3 days, duration of mechanical ventilation > 48 hours, APACHE II score ≥ 7 points, obtaining informed consent. Localization, intensity, and qualitative characteristics of long-term (at least 6 months) pain associated with ICU stay were assessed using the Brief Pain Inventory and the PainDetect Questionnaire, and the severity of anxiety and depression on the HADS scale. Before discharge, all patients underwent thermal quantitative sensory testing (CST) with assessment of cold detection thresholds and warm detection thresholds, paradoxical thermal sensations, cold pain thresholds and heat pain thresholds, conditioned pain modulation. RESULTS: After 6 months chronic pain syndrome developed in 59 % of patients. Data were obtained on the intensity, localization, and severity of the neuropathic and dysfunctional components of pain. When assessing the thermal parameters of QST, a statistically significant difference in the distribution of values for the thresholds of sensitivity to cold and heat was obtained between the group of patients with chronic pain and the group without pain (p < 0.0001) Hierarchical cluster analysis revealed a statistically significant relationship between changes in static and dynamic parameters of thermal sensory testing, the formation of an “irritated” and “deafferent” sensory phenotype depending on the duration of mechanical ventilation, stay in the ICU and assessment on the SOFA scale. CONCLUSIONS: sensory phenotypes make it possible to identify patients with dysfunction of small diameter fibers, impaired endogenous pain control mechanisms, which will allow selecting an individual program to pain relief.
Dynamics of organ dysfunction and inflammation markers in patients with septic shock during multimodal hemocorrection: a multicenter, randomized, controlled study
Authors: Rey S. I. , Kulabukhov V. V. , Popov A. Yu. , Nikitina O. V. , Berdnikov G. A. , Kim T. G. , Masolitin S. V. , Magomedov M. A. , Ignatenko O. V. , Krotenko N. P. , Marysheva A. N. , Chaus N. I. , Okhinko L. V. , Mendibaev M. S. , Chumachenko A. G. , Grechko A. V. , Pisarev Vladimir M. 
Published: October 2023

INTRODUCTION: Septic shock is the most serious complication in intensive care that associates with significant mortality. Extracorporeal hemocorrection may improve treatment of patients with septic shock. OBJECTIVE: Evaluation of the effect of hemocorrection with the multimodal adsorbent device Efferon LPS on the dynamics of organ dysfunction and inflammation markers in patients with septic shock. MATERIALS AND METHODS: A multicenter randomized controlled study was conducted in four clinical organizations in the city of Moscow from March 2021 to May 2022. The study included 58 patients (29 men and 29 women) with septic shock. Randomization was performed in a ratio of 2:1 (hemoperfusion: control). Within 24 hours of enrollment in the study, selective hemoperfusion procedures were performed or standard therapy was used. Hemosorption using Efferon LPS was performed twice, with an interval of 24.5 (23.3–26.0) hours. RESULTS: The use of the multimodal selective hemosorbent Efferon LPS significantly reduced the severity of multiple organ failure (MOF) in patients with septic shock from 7 to 3 points on the SOFA scale after 72 hours by improving hemodynamics, respiratory and renal function. In contrast to the control group, in the Efferon LPS group, the levels of CRP, PCT and IL-6 significantly decreased in 72 hours. The severity of MOF significantly correlated with the level of CRP and PCT (Spearman’s r = 0.346 and r = 0.444, respectively). The duration of hospitalization in survived patients was 16.1 days and 30.1 days in the Efferon LPS and control group, respectively (p = 0.032). The need for a renal replacement therapy (RRT) in survivors by the 3rd day was significantly reduced only in the Efferon LPS group — from 73.7 to 33.3 %. CONCLUSIONS: The use of the selective hemosorbent Efferon LPS resulted in significant decreases the hallmarks of systemic inflammation, MOF and requirements for RRT in patients with septic shock.
A review on climate change impacts, models, and its consequences on different sectors: a systematic approach
Authors: Rawat Amit , Kumar Dilip , Khati Bhishm Singh 
Published: October 2023

Abstract

Climate change refers to long-term alterations in climate patterns across various regions of the world. As per the data availability and explanations given by different researchers, human exercises, particularly the burning of coal, deforestation, and the use of oil, have increased the temperature of the Earth by significantly improving the engagement of heat-absorbing gases in the environment. The above-stated ratio will increase proportionally in the future. Therefore, climate change is one of our biggest global challenges, and urgent action must be taken to reduce greenhouse gas emissions, and adapt to its effects, and ensure a long and healthy life for all. This paper examines the different aspects of the effects of climate change on different ecosystem elements, such as air, water, plants, animals, and human beings, with a notable focus on economic aspects. Finally, to better understand the situation, data in this report were collected from different media platforms, research mechanisms, guideline papers, newspapers, and other references. This review paper considers climate change mitigation and transformation worldwide in different sectors like human health, crop productivity, and the related economic impact. The conclusions emphasize that government monitoring is essential for countries' long-term growth through responsible resource management.
Sphingomonas Paucimobilis Bacteremia in a Patient with Major Burns Injury:
A Case Report
Authors: Al Maskari Afaf , Ganeshan Ramesh , Al Messabi Ahmed , Al Zaabi Hasan , Abdul Haqu Noor Mohammad , Serafino Wani Robert Lodu , Babiker Zahir , Alatoom Adnan , Jabeen Fouzia , Nsutebu Emmanuel Fru 
Published: October 2023

Background::
Sphingomonas paucimobilis is an emerging opportunistic pathogen associated with hospital and community-acquired infections. Infection is the
most common cause of morbidity and mortality in burn patients.

Case Presentation::
We present a case of a 29-year-old lady who sustained severe burn injuries after a gas explosion at home. She was admitted to the United Arab
Emirates (UAE) National Burns Unit and required several episodes of surgical debridement. She developed S. paucimobilis bloodstream infection
whilst being treated with Piperacillin-tazobactam. She was subsequently treated with Meropenem for a total of 7 days after removing the source of
infection, an infected central line. The S. paucimobilis isolate showed intermediate resistance to Piperacillin-tazobactam.

Conclusion::
Numerous case reports indicate high morbidity in patients with life-threatening S. paucimobilis infections, immunocompromised patients, and
patients with underlying medical comorbidity; however, this is the first reported case from the UAE.
SGLT2 Inhibitors and Diabetic Kidney Disease: Targeting Multiple and
Interrelated Signaling Pathways for Renal Protection
Authors: Papaetis Georgios S. 
Published: October 2023

Abstract:
Almost 20-40% of all patients suffering from diabetes mellitus experience chronic kidney disease, which is related to higher mortality
(cardiovascular and all-cause). The implication of several pathophysiological mechanisms (hemodynamic, tubular, metabolic and inflammatory) in
the pathogenesis of diabetic kidney disease generates an urgent need to develop multitarget therapeutic strategies to face its development and
progression. SGLT2 inhibitors are undoubtedly a practice-changing drug class for individuals who experience type 2 diabetes and diabetic kidney
disease. In vitro studies, exploratory research, sub-analyses of large randomized controlled trials, and investigation of several biomarkers have
demonstrated that SGLT2 inhibitors achieved multiple beneficial activities, targeting several renal cellular and molecular pathways independent of
their antihyperglycemic activity. These mainly include the reduction in intraglomerular pressure through the restoration of TGF, impacts on the
renin-angiotensin-aldosterone system, improvement of renal hypoxia, adaptive metabolic alterations in substrate use/energy expenditure,
improvement of mitochondrial dysfunction, and reduction of inflammation, oxidative stress and fibrosis. This manuscript thoroughly investigates
the possible mechanisms that underlie their salutary renal effects in patients with diabetes, focusing on several pathways involved and the interplay
between them. It also explores their upcoming role in ameliorating the evolution of chronic kidney disease in patients with diabetes.
Pioglitazone Nanoparticle Deposited Biologically Active Substrate to Potentiate
Antidiabetic Activity
Authors: Gopalakrishna Murthy Talasila Eswara , Indira Sarihaddula , Sudheer Chowdary Bodepudi 
Published: October 2023

Background::
Diabetes is one of the most escalating endocrine disorders around the global countries. Researchers are paying more attention towards herbal drugs
for treating these chronic ailments. As per the statistics, the incidence of diabetes is increasing not only in adults but also in neonates. Herbal plants
like Okra and Neem have been used in India since the ages to treat various kinds of ailments.

Methods::
The methodology includes the preparation of granules from the okra gum and neem extract, which is compressed into tablets. The nanoparticle
dispersion of Pioglitazone is prepared by using the 2% w/v polyvinyl pyrrolidone (PVP) and 1% sodium lauryl sulphate (SLS), which are then
sprayed on the drug-free tablet substrate. This process enhances the area of the Pioglitazone particles and thereby increases the bioavailability of
the drug. The spraying of the nanoparticles on the surface of the substrate reduces the aggregation of the particles, which is a drawback of
nanoparticles.

Results::
The results show that the release rate is increased 2.14 times compared with the pure drug by depositing Pioglitazone nanoparticles on a tablet
substrate composed of the okra mucilage and alcoholic extract of Neem. It also shows that there is a remarkable reduction in the glucose levels in
vivo when compared with the product formulated by employing the traditional wet granulation technique.

Conclusion::
This study concluded that the addition of herbal antidiabetic molecules as excipients can improve the therapeutic effect significantly. Better
antidiabetic activity may be obtained with the deposition of hydrophobic antidiabetic drugs on herbal antidiabetic components.
A Review on Obsessive Compulsive Disorder: Neurotransmitters, Biomarkers
and Pharmacotherapy
Authors: Singh Manvi , Majhi Sagarika , Kataria RajKumari 
Published: October 2023

Abstract:
Around 2.5% of persons will experience obsessive-compulsive disorder (OCD), which has a significant morbidity. About 70% of individuals might
have significant symptom relief with the correct medicine. Pharmacological therapy is based on a class of drugs called selective serotonin reuptake
inhibitors (SSRIs). They are frequently given in higher doses and for longer durations compared to depression. Unfortunately, remission is not
common. Second-line therapy that combines tricyclic clomipramine with low-dose neuroleptics is successful. For patients who are resistant to
effective therapies, several augmentation procedures have been investigated, although they have not yet received strong support from controlled
research. Psychotherapy and medication are frequently combined, however, thorough research has not shown that there are any synergistic benefits
for adult patients. According to neuropsychological research, the development of OCD and cognitions is influenced by an imbalance in activity
between the fronto-striatal circuitry's direct (excitatory) and indirect (inhibitory) pathways. A variety of anxiolytic qualities have been found in
substances derived from plants that have been tested for various mental diseases. We did a detailed analysis of the pharmacological and clinical
evidence of herbal medications and phytochemicals with anti-obsessive-compulsive properties using the electronic databases PubMed, Scopus, etc.
to find out the status of the relevant research. The review is focused to identify the neurotransmitters involved in OCD along with the diagnostic
biomarkers so as to identify the disease at an early stage and provide safe and effective pharmacotherapy. The findings showed that a number of
plant remedies, comprising Withania somnifera, Silybum marianum, Echium amoenum, Crocus sativus, and Hypericum perforatum, as well as a
number of natural compounds, including crocin, cannabidiol, and curcumin, have tentative low-quality evidence. The most important anti-OCD
mechanism, according to existing pre-clinical studies and the need for more research to confirm its efficacy, may include manipulating the
monoamine system, notably serotonin reuptake inhibition.
Effect of ER: YAG Laser Treatment on the Bond Strength of Self-adhesive Resin Cements on Contaminated and Non-contaminated Dentin Surface
Authors: Rafeie Niyousha , Rashidi Marie , Chiniforush Nasim , Valizadeh Sara , Omrani Ladan Ranjbar 
Published: October 2023

Background:
Nowadays, lasers are used to modify the surface of dentin and enamel and improve the surface bond with resin cement while contamination weakens this bond.

Objective:
This study aimed to evaluate the effect of different contamination types on the microshear bond strength (μSBS) of two self-adhesive resin cements to dentin with/without laser treatment.

Methods:
One-hundred and twenty molar teeth were prepared and randomly divided into three groups: blood, saliva, and control. In the blood group, blood was applied to the samples for 10 seconds; in the saliva group, saliva was applied to the samples for 10 seconds; and in the control group, distilled water was applied to the samples. Each group was further divided into two subgroups; in one, the Er: YAG laser was applied to samples for 5 seconds, and in the other, no laser treatment was performed. Next, TheraCem and Embrace WetBond cements were placed on each sample. μSBS was measured using a universal testing machine.

Results:
In Embrace WetBond, μSBS was not affected by contamination type regardless of laser treatment. In TheraCem, μSBS was not affected by contamination type when the laser was not used. In contrast, with laser treatment, blood contamination decreased μSBS compared to control and saliva. After laser treatment in the presence of blood, μSBS of Embrace WetBond was significantly higher than that of TheraCem, while without laser treatment, no significant difference was observed between the two cements.

Conclusion:
Dentin conditioning with an erbium laser can increase the cement bond strength to dentin if proper isolation is achievable. If proper isolation cannot be obtained, dentin conditioning with erbium laser followed by application of Embrace WetBond cement can increase the microshear bond strength of cement to dentin.
Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study
Authors: Laurentiev John , Kim Dae Hyun , Mahesri Mufaddal , Wang Kuan-Yuan , Bessette Lily G , York Cassandra , Zakoul Heidi , Lee Su Been , Zhou Li , Lin Kueiyu Joshua 
Published: October 2023

Background
Assessment of activities of daily living (ADLs) and instrumental ADLs (iADLs) is key to determining the severity of dementia and care needs among older adults. However, such information is often only documented in free-text clinical notes within the electronic health record and can be challenging to find.

Objective
This study aims to develop and validate machine learning models to determine the status of ADL and iADL impairments based on clinical notes.

Methods
This cross-sectional study leveraged electronic health record clinical notes from Mass General Brigham’s Research Patient Data Repository linked with Medicare fee-for-service claims data from 2007 to 2017 to identify individuals aged 65 years or older with at least 1 diagnosis of dementia. Notes for encounters both 180 days before and after the first date of dementia diagnosis were randomly sampled. Models were trained and validated using note sentences filtered by expert-curated keywords (filtered cohort) and further evaluated using unfiltered sentences (unfiltered cohort). The model’s performance was compared using area under the receiver operating characteristic curve and area under the precision-recall curve (AUPRC).

Results
The study included 10,000 key-term–filtered sentences representing 441 people (n=283, 64.2% women; mean age 82.7, SD 7.9 years) and 1000 unfiltered sentences representing 80 people (n=56, 70% women; mean age 82.8, SD 7.5 years). Area under the receiver operating characteristic curve was high for the best-performing ADL and iADL models on both cohorts (>0.97). For ADL impairment identification, the random forest model achieved the best AUPRC (0.89, 95% CI 0.86-0.91) on the filtered cohort; the support vector machine model achieved the highest AUPRC (0.82, 95% CI 0.75-0.89) for the unfiltered cohort. For iADL impairment, the Bio+Clinical bidirectional encoder representations from transformers (BERT) model had the highest AUPRC (filtered: 0.76, 95% CI 0.68-0.82; unfiltered: 0.58, 95% CI 0.001-1.0). Compared with a keyword-search approach on the unfiltered cohort, machine learning reduced false-positive rates from 4.5% to 0.2% for ADL and 1.8% to 0.1% for iADL.

Conclusions
In this study, we demonstrated the ability of machine learning models to accurately identify ADL and iADL impairment based on free-text clinical notes, which could be useful in determining the severity of dementia.
HASIL BELAJAR PESERTA DIDIK KELAS XI MIPA SMAN 4 BANJARMASIN PADA PEMBELAJARAN KONSEP SISTEM KOORDINASI PADA MANUSIA
Authors: Anshari Muhammad Ridha , Noorhidayati Noorhidayati , Amintarti Sri 
Published: October 2023

The application of the Problem-Based Learning (PBL) model in biology learning is relevant to the goals of 21st-century learning. The concept of Coordinating Systems in Humans must be known and understood by everyone, especially students. This study aims to describe the effect of applying the PBL model to the learning of the Coordinating System concept on the learning outcomes of students in class XI MIPA at Senior hight school 4 Banjarmasin. This study used a quasi-experimental method with the nonequivalent control group research design. The research sample was class XI MIPA 2 as the experimental class and class XI MIPA 4 as the control class for 2 meetings. The research data were obtained from the results of the pretest and posttest, LKPD. Data analysis used the Wilcoxon Signed Ranks Test at α = 0.05. The results showed (1) the application of the PBL learning model to learning the Coordination System concept in Humans had a significant effect on the learning outcomes of class XI MIPA 4 SMAN 4 Banjarmasin (2) Cognitive learning outcomes were in a good category (3) Affective learning outcomes of character behavior and social behavior are included in the good to very good category (4) psychomotor learning outcomes are good to very good category.
Village’s Women Participation in Sustainable Waste Management
Authors: Rahmawati Emma , Sukarno Taufan Daniarta , Purwanto Anang Dwi 
Published: October 2023

Sustainable development requires the community’s active involvement, as well as other development inside the village. One of the most crucial dimensions of development in recent years is the environmental issues, especially waste problems, where there is a lot of unhandled waste in rural areas. Fortunately, now there are villages that have succeeded in managing their waste in a sustainable manner with the support of village women's participation. The aim of this study was to determine the participation of village women in sustainable waste management. The research method uses descriptive qualitative data collection through in-depth interviews, Focus Group Discussion (FGD), observation, and documentation. The results showed that the participation of village women in the flow of sustainable waste management has various forms of participation, which contained in each stage activities of management, sorting, transporting, processing, and utilizing the results of waste processing. Factors that encouraged the participation of village women in village waste management development were the community’s own willingness, ability to perform, and the opportunity to be actively involved. The village women proved that they were the largest producers of household waste, but at the same time were the ones that helped solve the waste problem. Through their services to their community, they have also increased the family's economic income through their involvement in waste management.
Design and implementation of a smart learning environment for teaching computer networking
Authors: Woolcott Geoff , Bui Vinh 
Published: October 2023

Abstract
The transition to fully online delivery in the COVID-19 pandemic has added to already existing and significant challenges in subjects and programs that require a component of practicum, on-site experience or hands-on laboratory work. This article presents initial results from a study that responds to challenges arising in moving to a fully online version of an advanced-level computer networking subject within a postgraduate computing degree. Specifically, the study addresses challenges related to a lack of effective teaching approaches combined with a lack of integrated technologies for conducting hands-on laboratory work in online learning environments. The findings presented are from a case study comparison of face-to-face delivery with a newly developed ‘smart learning environment’. Findings indicate that student results and satisfaction levels from the two modes of delivery were comparable. Findings support the purpose-designed instructional strategy, integrated technologies and practical assessments, set within sequenced and scaffolded activities. Further research is being undertaken to confirm the effectiveness of the changes, including case studies of students’ performance data from subsequent offerings of the subject and the inclusion of pre-test post-test protocols and randomised trials.