bluuebunny/crossref_metadata_2025 huggingface dataset:
Positive periodic solutions for a second-order singular differential equation with two indefinite weights
Authors: Cheng Zhibo , Song Juan , Xin Yun
Published: October 2022

This paper aims to show that the fixed point theorem of cone mapping can be applied to a second-order singular differential equation with two indefinite weights. Applying the positiveness of Green'sfunction of a second-order linear nonhomogeneous differential equation, we prove the existence of a positive periodic solution fora second-order singular differential equation with two indefinite weights.
MSC— 34B16; 34B18; 34C25.
The contribution of non-timber forest products (NTFPs) to forest dwellers in Kinnaur district of Himachal Pradesh
Authors: Klate Akanksha , Sharma Shilpa² , Thakur³ Niyati , Sharma Ajit
Published: October 2022

The contribution of Non-timber forest products (NTFPs) have been acknowledged globally by the rural people for their role in collection of essential NTFPs, income generation, livelihood improvement and rural development. The potential of NTFP based bioeconomy has given new dimensions to forest dwellers, significantly affecting the economies of forest dwellers. Therefore present study investigates the livelihood contribution, quantity inequality and determinant socio-economic factors of NTFPs extraction in the Kinnaur district. A multistage random sampling technique was employed to collect data through participatory household-based surveys from different households. Compare to other income sources, such as crop production, livestock breeding, and off-farm activities, NTFPs accounted for the second largest income share of total household income. Despite the fact that wealthier households generated more NTFP income overall, our research shows that poorer households rely more on this source of income than do wealthy households. To assess and mitigate the inequality in the quantity of NTFPs collected by the forest dwellers, the Lorenz curve and Gini index were used. The Tobit model was also used to pinpoint the crucial variables influencing the collection of NTFPs.
Problematic Facebook use, psychological distress and well-being during the second wave of COVID-19 pandemic: A longitudinal investigation
Authors: Bonfanti Rubinia Celeste , Salerno Laura , Brugnera Agostino , Coco Gianluca Lo
Published: October 2022

The social isolation and the subsequent, increased use of Social Networking Sites due to the COVID-19 pandemic have had an impact on subjective well-being around the world. The present longitudinal study examined whether changes in psychological distress and well-being during the Italian second wave of the pandemic differ among people with different levels of Problematic Facebook Use (PFU). A total of 493 participants (Mage = 24.55±7.25; 80.3% females) completed measures of passive use of Facebook, social comparison orientation on Facebook, fear of missing out, psychological distress (depressive symptoms and fear of COVID-19 pandemic) and well-being across three waves. Latent class analysis (LCA) categorized participants into three groups with different PFU levels: Healthy users, Moderate PFU users, and High PFU users. Hierarchical Linear Modeling showed that the between-person level (class membership) accounted for most of the variability in psychological distress and well-being. No significant changes were found in psychological distress and well-being over time, but the High PFU users showed greater levels of psychological distress and lower levels of well-being at each time point. The findings of this study suggest that the relationship between PFU, psychological distress and well-being may reflect trait-like time-invariant differences between individuals rather than state-like changes.
Alanine-based spacers promote an efficient antigen processing and presentation in neoantigen polypeptide vaccines
Authors: Aguilar-Gurrieri Carmen , Barajas Ana , Rovirosa Carla , Ortiz Raquel , Urrea Victor , Clotet Bonaventura , Blanco Julià , Carrillo Jorge , Iglesia Nuria de la
Published: October 2022

Neoantigens are tumor-specific antigens that are mostly particular for each patient. Since the immune system is able to mount a specific immune response against these neoantigens, they are a promising tool for the development of therapeutic personalized cancer vaccines. Neoantigens must be presented to T cells by Antigen Presenting Cells (APC) in the context of MHC-I or MHC-II molecules. Therefore, the strategy of vaccine delivery may have a major impact on the magnitude and quality of T cell responses. Neoantigen vaccines are frequently administered as a pool of individual synthetic peptides that induce mainly CD4+ T cell responses. MHC-I-mediated presentation and the elicitation of CD8+ T cell responses may be improved using DNA or RNA sequences that code for a unique long polypeptide that concatenates the different neoantigens spaced by linker sequences. When administered this way, the selection of the spacer between neoantigens is of special interest, as it might influence the processing and presentation of the right peptides by APCs. Here, we evaluate the impact of such linker regions on the MHC-I-dependent antigen presentation using an in vitro assay that assesses the MHC-I presentation of SIINFEKL, a H-2Kb-restricted OVA peptide. Our results show that spacers used to generate epitope concatenates have a large impact on the efficiency of neoantigen processing and presentation by MHC-I molecules; in contrast, the peptide position and the flanking regions have a minimal impact. Moreover, linkers based on alanine residues promote a more efficient peptide presentation than the commonly used GGGS linker.
Improvement of Sleep Quality in Isolated Metastatic Patients with Spinal Cord Compression after Surgery
Authors: Cao Shuang , Xin Baoquan , Yu Yue , Peng Cheng , Zhu Chengzhang , Deng Mengqiu , Gao Xin , Chu Jianjun , Liu Tielong
Published: October 2022

Background
This study aimed to assess changes in quality of sleep (QoS) in isolated metastatic patients with spinal cord compression following two different surgical treatments and identify potential contributing factors associated with QoS improvement.
Methods
We reviewed 49 patients with isolated spinal metastasis at our spinal tumor center between December 2017 and May 2021. Total en bloc spondylectomy (TES) and palliative surgery with postoperative stereotactic radiosurgery (PSRS) were performed on 26 and 23 patients, respectively. We employed univariate and multivariate analyses to identify the potential prognostic factors affecting QoS.
Results
The total Pittsburgh Sleep Quality Index (PSQI) score improved significantly six months after surgery. Univariate analysis indicated that age, pain worsening at night, decrease in visual analog scale (VAS), increase in Eastern Cooperative Oncology Group performance score (ECOG-PS), artificial implant in focus, and decrease in epidural spinal cord compression (ESCC) scale values were potential contributing factors for QoS. Multivariate analysis indicated that the ESCC scale score decreased as an independent prognostic factor.
Conclusions
Patients with spinal cord compression caused by the metastatic disease had significantly improved QoS after TES and PSRS treatment. Moreover, a decrease in ESCC scale value of > 1 was identified as a favorable contributing factor associated with PSQI improvement. In addition, TES and PSRS can prevent recurrence by achieving efficient local tumor control to improve indirect sleep. Accordingly, timely and effective surgical decompression and recurrence control are critical for improving sleep quality.
Incidence, predictors and outcomes of cardiac perforation during paediatric cardiac catheterization: A retrospective observational study from the Congenital Cardiac Interventional Study Consortium (CCISC)
Authors: McCrossan Brian Anthony , Karayiannis Steven , Shields Michael , Nykanen David , Forbes Thomas J. , Kobayashi Daisuke , Kenny Damien
Published: October 2022

Introduction
Cardiac perforation is a rare life-threatening complication of cardiac catheterization. There is very little published literature detailing risk factors for cardiac perforation and outcomes from this complication in children.
Materials and Methods
This was a retrospective study analyzing the cardiac catheterization case registry of the Congenital Cardiovascular Interventional Study Consortium. Children aged <18 years were included during the study period of 9 years (January 2009- December 2017). The primary outcome measures were incidence of cardiac perforation, risk factors for and outcomes of patients who experience cardiac perforation during cardiac catheterization.
Results
Cardiac perforation occurred in 50 patients from a total of 36,986 (0.14%). Cardiac perforation was more likely to occur in younger, smaller patients undergoing urgent /emergent and interventional procedures (p<0.01). Cardiac peroration risk was significantly different across diagnostic and procedure categories (p<0.01). Higher CRISP score (Area Under Curve [AUC] =0.87), lower age and procedure category (radio-frequency perforation of pulmonary valve, AUC =0.84) were independent predictors of cardiac perforation. Cardiac perforation was associated with a significantly higher rate of mortality (14%), further emergency procedure (42%), ECMO (14%) and cardiac arrest (6%), p<0.01.
Conclusions
Cardiac perforation during cardiac catheterization is a life-threatening complication with a range of associated secondary complications. Higher CRISP score, lower age and radio-frequency perforation of pulmonary valve are independent predictors.
Preoperative percent body fat in bioelectrical impedance analysis predicts pancreatic fistula after pencreaticoduodenectomy
Authors: Kimura Jiro , Sui Kenta , Tabuchi Motoyasu , Sakamoto Shinya , Murokawa Takahiro , Iwata Jun , Morita Sojiro , Iiyama Tastuo , Okabayashi Takehiro
Published: October 2022

Background
It is unclear which body composition affects postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy. In the present study, we evaluated the relationship between nutritional factors, body composition, and POPF.
Methods
This was a prospective observational cohort study. Patients who underwent pancreaticoduodenectomy between March 2018 and July 2021 were included in this study. Preoperative body composition was measured using a bioelectrical impedance analyzer. In addition, the predictive factors for POPF were analyzed.
Results
The study included 143 patients. Among these patients, 31 had POPF (POPF group) and 112 did not (non-POPF group) after pancreaticoduodenectomy. For body composition, the percent body fat was significantly higher in the POPF group (26.90 vs 23.48, P = 0.022). Multivariate analysis revealed that alcohol consumption (odds ratio 2.71, P = 0.028), body mass index ≥ 25.0 kg/m2 (odds ratio 3.43, P = 0.01), albumin level (odds ratio 2.65, P = 0.028), and percent body fat (odds ratio 1.06, P = 0.032) were significantly independent predictive factors for POPF. When the patients were divided into three groups based on their percent body fat (< 25, 25–35, and ≥ 35), POPF occurred more frequently in the group with ≥ 35 percent body fat (47.1%) than in the < 25 group (15.5%) (P = 0.008).
Conclusion
Pancreaticoduodenectomy could be performed if it is technically and oncologically appropriate, and predictive factors for POPF, such as percent body fat, should be considered before proceeding to surgery (ClinicalTrials.gov trial registration no. NCT5257434).
Integrated Proteomics and Metabolomics to Study IgA Nephropathy on Early Stage and Identification of Biomarkers
Authors: Zhang Di , Li Yaohan , Liang Mingzhu , Liang Yan , Tian Jingkui , He Qiang , Jin Juan , Zhu Wei
Published: October 2022

Background
IgA nephropathy (IgAN) is the most common primary chronic glomerulopathy globally. For IgAN diagnosis, kidney biopsy is still the standard method, which is invasive. And there are no effective plasma biomarkers for the disease at the early stage. The research aimed to find potential biomarkers for diagnosing IgAN.
Methods
Plasma samples of 33 early-stage IgAN patients who were not taking hormonal drugs and 20 healthy controls were collected for proteomic and metabolomic analysis. The least absolute shrinkage and selection operator (LASSO) was used to construct a binary logistic regression model by combining proteomic and metabolomic data. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve, sensitivity, and specificity test were performed to assess the model's performance.
Results
Proteomic analysis of IgAN plasma revealed that the complement and the immune system were activated. And the metabolomic result showed that energy and amino acid metabolism were disordered in IgAN patients. Through machine learning, PRKAR2A, IL6ST, SOS1, and palmitoleic acid have been identified as potential biomarkers. Based on the AUC value for the training and test sets, the classification performance was 0.994 and 0.977, respectively. The AUC of the external validation of the four biomarkers was 0.91.
Conclusion
In this study, we applied proteomics and metabolomics techniques to analyze the plasma of IgAN patients and find biomarkers. PRKAR2A, IL6ST, SOS1, and palmitoleic acid were combined to serve as potential biomarkers for early diagnosis of IgAN.
Diversity of Aquatic Macrophytes of Four Lakes of Holalkere, Chitradurga District, Karnataka, India
Authors: Mallappa Pallavi , Takrya Parameswara Naik
Published: October 2022

The present investigation concerns the diversity of aquatic macrophytes in different lakes of Holalkere, Chitradurga district of Karnataka. Lakes are the natural habitat of macrophytic plants. Macrophytes are the common features of an aquatic ecosystem. Aquatic macrophytes play a prominent role in water ecosystems. Aquatic macrophyte diversity and its role in understanding the lake ecosystem dynamics have tremendous significance. Species composition of aquatic macrophytes, seasonal distribution in four lakes in Holalkere viz. Gangasamudra lake, Gowdihalli lake, Talikatte lake and Kudineerakatte lake were studied during 2019–2021. Fifteen different species of aquatic macrophytes were recorded from the studied lakes which include One free-floating, Eight Submerged, and Six Emergent Macrophytes present in the lake basin.Hydrilla verticillate,Polygonum glabrum, Cyperus longus, and Ipomoea fistulosaoccur throughout the year. It indicates that aquatic macrophyte species are specific to environmental quality. The present findings revealed that the surface quality of the lakes is productive. The researches aiming to describe unknown species are still necessary.
The effect of intracranial arterial calcification on reperfusion therapy in acute stroke patients: a cohort study
Authors: Du Heng , Zheng Jianrong , Li Xuelong , Bos Daniel , Yang Wenjie , Cheng Yajing , Liu Cong , Wong Lawrence Ka Sing , Hu Jun , Chen Xiangyan
Published: October 2022

Background and purpose: Intracranial arterial calcification (IAC) has been found as a risk factor of ischemic stroke. However, the relationship between IAC patterns (intimal or medial) and clinical outcome of ischemic stroke remains controversial. We aimed to investigate the correlation between IAC patterns and the effects of reperfusion therapy among acute stroke patients.
Methods: Consecutive acute ischemic stroke patients who underwent reperfusion therapy were included. IAC was categorized as intimal or medial. Based on its involvement in arteries, IAC was further classified as diffuse or focal. Neurologic dysfunction before and after therapy was assessed by the National Institute of Health stroke scale (NIHSS). Clinical outcome including favorable neurologic outcome (FNO) and early neurologic deterioration (END) were assessed within 10 days after reperfusion therapy.
Results: Of 130 patients, 117 had IAC. Intimal IAC was identified in 74.6% patients and medial IAC was present in 64.6% patients. Diffuse IAC was present in 31.5% patients. All diffuse IACs were medial pattern. Diffuse IAC was associated with higher baseline NIHSS (p=0.011) and less FNO (p=0.047). Compared with patients with focal or single diffuse IAC, patients with multiple diffuse IAC had higher baseline NIHSS (p=0.002) and less FNO (p=0.024). Multivariable linear regression (p<0.001) and logistic regression (p=0.027) suggested that multiple diffuse IAC was associated with higher baseline NIHSS and less FNO. No significant association was found between END and different IAC patterns.
Conclusions: Multiple diffuse medial IAC may predict severer neurologic dysfunction and a less favorable neurologic outcome after reperfusion therapy in acute stroke patients.
COVID-19 Case Numbers as a Function of Regional Testing Strategy, Vaccination Coverage, and Vaccine Type
Authors: Totolian Areg A. , Smirnov Viacheslav S. , Krasnov Alexei A. , Ramsay Edward S. , Dedkov Vladimir G. , Popova Anna Y.
Published: October 2022

Introduction
The COVID-19 pandemic that began in 2019 has become a serious challenge for humanity almost everywhere globally. Despite active vaccination around the world, prevalence in different countries varies significantly as of May 2022. The reason may be a combination of demographic, immunological, and epidemiological factors.
The purpose
of this study was to analyze the relationship between COVID-19 prevalence in the population and the types of SARS-CoV-2 vaccines used in different countries globally, taking into account demographic and epidemiological factors.
Materials and methods
An initial database was created of demographic and immunoepidemiological information about the COVID-19 situation in 104 countries, collected from published official source and repository data. The baseline included for each country: population size and density; SARS-CoV-2 testing coverage; vaccination coverage; prevalence; as well as a list of vaccines that were used, including their relative share among all vaccinations. Subsequently, the initial data set was stratified by population and vaccination coverage. The final data set was subjected to statistical processing both in general and taking into account population testing coverage.
Results
After formation of the final data set (including 53 countries), it turned out that reported COVID-19 case numbers correlated most strongly with testing coverage and the proportions of vaccine types used, specifically: mRNA (V1); vector (V2); peptide/protein (V3); and whole-virion/inactivated (V4). Due to the fact that an inverse correlation was found between 'reported COVID-19 case numbers' with V2, V3 and V4, these three vaccine types were also combined into one analytic group, 'non-mRNA group' vaccines (Vnmg). When the relationship between vaccine type and prevalence was examined, minimum prevalence was noted at V1:Vnmg ratios (%:%) from 0:100 to 30:70. Maximum prevalence was seen with V1:Vnmg from 80:20 to 100:0. On the other hand, we have shown that the number of reported COVID-19 cases in different countries largely depends on testing coverage. To offset this factor, countries with low and extremely high levels of testing were excluded from the data set; it was then confirmed that the largest number of reported COVID-19 cases occurred in countries with a dominance of V1 vaccines. The fewest reported cases were seen in countries with a dominance of Vnmg vaccines.
Conclusion
In this paper, we have shown for the first time that the level of reported COVID-19 prevalence depends not only on SARS-CoV-2 testing and vaccination coverage, which is quite logical, but also on the vaccine types used. With the same vaccination level and testing coverage, those countries that predominantly use vector and whole-virion vaccines feature prevalence that is significantly lower than countries that predominantly use mRNA vaccines.
A non-linear generalization of latticized optimization problems subjected to continuous max-t-norm fuzzy relational inequalities
Authors: Ghodousian Amin , Rad Babak Sepehri , Ghodousian Oveys
Published: October 2022

Recently, the latticized linear programming problems subjected to max-min and max-product fuzzy relational inequalities (FRI) have been studied extensively and have been utilized in many interesting applications. In this paper, we introduce a new generalization of the latticized optimization problems whose objective is a non-linear function defined by an arbitrary continuous s-norm (t-conorm), and whose constraints are formed as an FRI defined by an arbitrary continuous t-norm. Firstly, the feasible region of the problem is completely characterized and two necessary and sufficient conditions are proposed to determine the feasibility of the problem. Also, a general method is proposed for finding the exact optimal solutions of the non-linear model. Then, in order to accelerate the general method, five simplification techniques are provided that reduce the work of computing an optimal solution. Additionally, a polynomial-time method is presented for solving general latticized linear optimization problems subjected to the continuous FRI. These special cases of the primal problem give some extensions of the result in Yang. Et. al., where the latticized linear programming subjected to max-product FRI is considered. Moreover, an application of the proposed non-linear model is described where the objective function and the FRI are defined by the well-known Lukasiewicz s-norm and product t-norm, respectively. Finally, a numerical example is provided to illustrate the proposed algorithm.
Correlation between Cost of Capital, Book Values and Shares Prices: Evidence from Qatar Stock Exchange
Authors: Tahat Ibrahim
Published: October 2022

This study investigates the link between the cost of capital, and both share book values and market prices on Qatari Stock Exchange. The rational of this test suggested that their relationship between the published financial data and decision making as result of complying with transparent disclosure, in capital markets which suggested that this data has lost its value relevance to shareholders. Ohlson (1995) basic equity valuation model applied in this research, which linked to the firm’s equity market value to book values adjusted for abnormal returns. Data used in this study represent all listed firms on Qatari Stock Exchange, to test this assumption for the period from 2010 to 2019. The result indicated a negative correlation among cost of capital and both firms book values and share market prices. Firms bearing higher risks are predicted to earn higher returns. According to the study’s findings, statistical evidence supports the claim that raising the amount of leverage raises the risk for equity shareholders. Because of an increase in leverage results in a higher expected return on investment to compensate equity shareholders for the increased risk.
Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions
Authors: Digel Ivan , Mussabalina Dinara , Urdabayev Marat , Nurmukhametov Nurbakhyt , Akparova Aigul
Published: October 2022

This study aims to study Kazakhstan’s regions and identify places with the best potential for developing smart cities based on cluster analysis. To analyze the differentiation by the level of development, 17 regions of Kazakhstan are grouped according to 2020 data from the statistical bulletin of the National Bureau of Statistics of the Republic of Kazakhstan. The formation of groups of regions with different values of indicators was carried out based on agglomerative clustering using the single linkage, complete linkage, and Ward’s clustering methods. In agglomerative clustering, the algorithm groups regions based on observations into clusters, and indicators determine each area’s innovative development level. The instrument to build clustering is the “RStudio” software package. As a result, regions with their essential characteristics were identified, and an assessment of their prospects was obtained with the most significant potential for developing and managing “smart cities” – Atyrau region, Almaty city, and Astana city. The remaining clusters include regions where favorable conditions for the development of innovations have not yet been formed, which require more resources and efforts to build “smart cities.” Therefore, they should not be the first to implement this concept. They need a more balanced, integrated approach, ideally supported by experience in implementing the idea in more promising regions. In a sense, clustering also allowed for identifying potential (or even existing) innovation clusters in regions of Kazakhstan. The study results can be used in developing government programs to form smart cities and further study the potential of smart cities.
Stability Indicating Method for a Thiazolylhydrazone Derivative with Antifungal Activity and Experimental/Theoretical Elucidation of Its Degradation Products
Authors: Silva Iara , Maltarollo Vinícius , Protti Ícaro , Oliveira Renata , César Isabela
Published: October 2022

RN104 (2-[2-(cyclohexylmethylene)hydrazinyl]-4-phenylthiazole) is a thiazolylhydrazone derivative with promising in vitro and in vivo antifungal activity. A stability indicating high performance liquid chromatography with diode-array detection (HPLC-DAD) method was carried out using C18 end-capped column (250 × 4.6 mm, 5 μm) and a mobile phase composed of water and acetonitrile (15:85 v/v) at a flow rate of 1.2 mL min-1, injection volume 25 μL and DAD detection at 240 nm. The method showed to be selective, linear in the range of 20 to 240 μg mL-1, precise, accurate and robust. RN104 forced degradation study under different stress conditions (acidic, alkaline and neutral hydrolysis, oxidation, photolysis and thermolysis) was performed using the validated analytical method. The results showed that RN104 underwent significant degradation when subjected to alkaline hydrolysis and oxidation by metallic ions. Quantum mechanics calculations were carried out to assist in the structural elucidation of the formed degradation products. The obtained data may be useful for the development of future formulation based on RN104.
Computational Approaches in the Discovery and Development of Therapeutic
and Prophylactic Agents for Viral Diseases
Authors: Gaurav Anand , Agrawal Neetu , Al-Nema Mayasah , Gautam Vertika
Published: October 2022

Over the last two decades computational technologies have always played a crucial role in anti-viral drug development. Whenever a virus spreads and becomes a threat to global health it brings along the challenge to develop new therapeutics and prophylactics. Computational drug and vaccine discovery have evolved at a breakneck pace over the years. Some interesting examples of computational drug discovery are anti-AIDS drugs, where HIV protease and reverse transcriptase have been targeted by agents developed using computational methods. Various computational methods that have been applied to anti-viral research include, ligand-based methods that rely on known active compounds i.e., pharmacophore modeling, machine learning or classical QSAR; structure-based methods that rely on an experimentally determined 3D structure of the targets i.e., molecular docking and molecular dynamics and methods for development of vaccines such as reverse vaccinology; structural vaccinology and vaccine epitope prediction. In this review we summarize these approaches as they were applied to battle viral diseases and underscore their importance for anti-viral research. We discuss the role of computational methods in the development of small molecules and vaccines against, human immunodeficiency virus, yellow fever, human papilloma virus, SARS-CoV-2, and other viruses. Various computational tools available for abovementioned purposes have been listed and described. A discussion on application of artificial intelligence-based methods for antiviral drug discovery has also been included.
Efficacy Screening of Prospective Anti-allergic Drug Candidates: An
In silico Study
Authors: Bandopadhyay Rajib , Laha Anubhab , Sarkar Aniket , Chakraborty Priyanka , Panja Anindya Sundar
Published: October 2022

Background:

Due to the rapid rise of allergies, anti-allergy medications are commonly being
utilised to reduce inflammation; however, allergen-specific inhibitors may also be utilised.

Objective:

Our in silico study is aimed at finding out a promising anti-allergic compound that can act
against a wide range of allergens.

Methods:

The inhibitory efficacies of potential anti-allergic compounds were investigated by ADMET
studies and were followed by high throughput molecular docking. Binding energy was calculated
by AUTODOCK, which led to the identification of binding sites between the allergens and antiallergic
compounds. Each of the five anti-allergic compounds interacted with allergens at various
levels. The docked poses showing significant binding energy were subjected to molecular docking
simulation.

Results:

Marrubiin exhibits higher binding affinities to the catalytic pocket against allergens from
chicken, European white birch plant, bacteria, fungus, and numerous food allergens.

Conclusions:

We propose Marrubiin, which appears to be a promising anti-allergic candidate and antiinflammatory
agent against a wide spectrum of allergens. The future directions of this research are to
analyze the effects of anti-allergic mechanisms in vivo.
Mechanistic Features and Therapeutic Implications Related to the MiRNAs
and Wnt Signaling Regulatory in Breast Cancer
Authors: Talebi Marjan , Farkhondeh Tahereh , Harifi-Mood Mohammad Sadra , Talebi Mohsen , Samarghandian Saeed
Published: October 2022

Breast cancer (BC) is accountable for a large number of female-related malignancies
that lead to lethality worldwide. Various factors are considered in the occurrence of BC, including
the deregulation of cancer stem cells (CSCs) and epithelial-mesenchymal transition (EMT).
Genetic factors such as microRNAs (miRs) are crucially responsible for BC progression and aggressiveness.
Hence, the association of miRs and EMT regulators (e.g., Wnt signaling pathway) is
of importance. In the present review, we accurately discussed this interplay (interaction between
Wnt and miRs) concerning cell - invasion, -migration, -differentiation, -chemoresistance, survival,
and-proliferation, and BC prognosis. The putative therapeutic agents, multidrug resistance (MDR)
evade, and possible molecular targets are described as well.
Development, Characterization and In vivo Pharmacokinetic Studies of
Olmesartan Medoxomil Nanosuspension for the Effective Treatment of
Hypertension
Authors: Bhargav E  , Singh Udit Narayan , Haranath C  , Sekhar C Chitra , Charitha B  , Jyothi MV
Published: October 2022

Introduction:

The present work aims to increase the saturation solubility and the bioavailability of Olmesartan medoxomil (OM) via an acid-base neutralization-based nanosuspension technique.

Method:

The initial screening studies revealed that changes in the concentration of HPMC E15 (100-200
mg), mechanical stirring speed (SS) (900-1200 rpm) and stirring time (ST) (60-120 min) affected the
responses. Effects produced by the factors (HPMC E15, SS, and ST) on responses (particle size, PDI, and
cumulative % drug release (%CDR)) were investigated using a 2!!!
!!!fractional factorial design with replicates and four midpoints. For the development of Olmesartan medoxomil nanosuspension, an acid-base
neutralization technique was employed.

Result:

Pareto chart, perturbation plots and ANOVA were used to identify significant factors. The p-value
<0.05 indicated the factors to be considered significant. The Particle size and PDI of all formulations
ranged from 286.7 nm - 718.1 nm and 0.146 – 0.415, respectively. Drug release from all formulations
ranged from74.0-103.7%. Pure drug solubility and optimized formula solubility were reported to be 108.6
g/ml and 1650.72 g/ml, respectively. Contour and 3D surface plots led to the identification of design
space in which HPMC E15, SS and ST can be oriented at 148.8-151 mg, 959-1000 rpm and 106-120 min,
respectively, to get particle size <500 nm, PDI <0.5 and % CDR >95%.SEM results indicated that the
particles were nearly spherical.

Conclusion:

In vivo pharmacokinetic studies conducted in Wistar rats exhibited ∼4.7 folds enhancement
in optimized OM nanosuspension oral bioavailability compared to pure drug. It can be concluded that the
selected method and application of the design of the experimentation technique enhanced the saturation
solubility and bioavailability of OM.
SOLVING LARGE SCALE TRANSPORTATION PROBLEM IN FERTILIZER DISTRIBUTION TO MINIMIZE TRANSPORTATION COST
Authors:   Department of Industrial Engineering, Engineering Faculty, Universitas Brawijaya, Fanani Angga Akbar , Rahman Arif ,   Department of Industrial Engineering, Engineering Faculty, Universitas Brawijaya, Lustyana Astuteryanti Tri ,   Department of Industrial Engineering, Universitas Brawijaya, Indonesia, Widiyawati Sri ,   Department of Industrial Engineering, Universitas Brawijaya, Indonesia
Published: October 2022

Indonesia is agricultural country which have high degree of dependency to the fertilizer availability, it is because fertilizer has important role for the land fertility. Fertilizer is needed by the farmers all the time, from the initial period of planting the crop to the harvest period. This condition requires the fertilizer industry to be able to deliver fertilizer exactly when fertilizer is needed. The complexity of the transportation problem is indicated by the number of nodes in the model that represent both source and destination. In the distribution of fertilizer, the number of sources is relatively small, but the number of destinations is very large, where the number reaches 50 destination points. In solving large scale transportation complex problems, modeling techniques using Linier Programming are needed. Fertilizer demands are fulfilled from 42 buffer warehouses, and the optimal allocation for petrochemical distribution is supplied by 47 production partners. Based on the results of the calculation process using linier programming, the optimal distribution cost is 939,854,960.00 rupiahs. Meanwhile, the initial cost of distribution is IDR 1,032,267,660.00. There was a decrease of 92,412,700.00 rupiahs or about 9%. Optimization of the distribution process is also marked by the decrease in the number of production partners needed to meet the needs of 42 buffer warehouses. In the initial distribution, 56 production partners sent their products, after the calculation process only 47 production partners were needed.
THE APPLICATION OF SIX SIGMA-DMAIC METHOD TO REDUCE DEFECTS AND IMPROVE THE CARTRIDGE CASE PROCESS IN AMMUNITION COMPANY
Authors:   Department of Mechanical Engineering, Engineering Faculty, Universitas Brawijaya, Anggamawarti Merlina Fitri , Pratikto Pratikto ,   Department of Mechanical Engineering, Engineering Faculty, Universitas Brawijaya, Sumantri Yeni ,   Department of Industrial Engineering, Universitas Brawijaya, Indonesia
Published: October 2022

PT. Pindad has a superior product, namely the 5.56 mm ammunition MU5-TJ. The product performance and quality, to be better, need changes in manufacturing processes and stricter quality control. In the MU5-TJ manufacturing process, defects in the cartridge significantly contribute to defective products, reaching 48.6%. This study aimed to evaluate the causes of the defects and improve the quality of the MU5-TJ cartridge production line. The method used in this study was Six Sigma-DMAIC (Define, Measure, Analyze, Improve, Control). The quality identification showed that the gauging process contributes to 67.8% of total defects in all production lines of cartridges. The critical factors were inspection methods and machine settings. Improvements were made by implementing auto-control every 15 minutes by the operators, setting the heading and necking, edge turning, and gauging machine speed. The improvements were shown to increase the sigma level from 3.24 to 3.45 and save the cost by IDR62.372.824,00.
“Stunning and creepy…I gotta learn this”: Exploring Concepts of Information Ethics in Deepfake Creation Tutorials on YouTube
Authors: Vera Alexander
Published: October 2022

Deepfakes combine artificial intelligence with machine deep learning to produce manipulated images and are made to appear hyperrealistic to viewers (Westerlund, 2019), complicating, if not, preventing viewers from separating fact from fiction and eroding trust in video footage or images from reputable mainstream news sources. Previous literature has articulated the dangers of deepfakes and their dissemination. This ongoing project explores the creation of deepfakes by seeking to understand who makes deepfakes through analyzing deepfake tutorials on YouTube.  A thematic analysis of the content and production features of YouTube deepfake creation videos provides a critical perspective of how and why individuals instruct others to do so.  Findings of 73 YouTube videos indicate higher proportions non-western participation in deepfake creation. While still ongoing, these early findings impact how LIS professionals frame deepfakes around mis/disinformation and suggest that in order to overcome deepfakes we must understand them in relation to larger socio-technical discourses.
Understanding Access in Academic Library Special Collections
Authors: Rossman Jae
Published: October 2022

American academic libraries have collected rare and unique non-circulating materials now referred to as special collections. These materials are handled differently than in other parts of academic library collections with specialized access policies, procedures, and staff. This research project looks at how ideas of access to special collections have changed during the period 1936 to 2019. Interviews were conducted with 21 special collections professionals. Using a grounded theory approach, a conceptual model of the aspects of access was developed. Ten aspects of access were mapped onto three overarching categories. An exploration of access through the lens of special collections is especially meaningful because of the tension between the principles of preservation and access within the special collections community. This project is also significant as the library profession as a whole explores how representation of diversity within collections and access to them impacts library users.
Reevaluating Space and Place in Academic Libraries
Authors: Nieves-Whitmore Kaeli , Sweeney Miriam
Published: October 2022

The concepts of space and place as they relate to libraries has been a popular topic of discussion in Library and Information Science (LIS) literature for decades. In that time, libraries have been heralded as spaces and places of discovery, safety, escape, fear, control, wonder, community, learning, work, and relaxation among many other designations. Focusing on academic libraries specifically, the presenters explore the ways we have thought about academic libraries as spaces and places in the past in LIS and ask what is missing from the conversation. Through a critical analysis of the extant literature in two prominent LIS scholarly databases, the presenters first seek to answer the question, “How has space and place been framed in academic library literature?” Based on the findings of the initial analysis and the gaps identified, the presenters then ask, “What perspectives or frameworks could potentially address existing gaps in the literature?” Of particular interest is the affective relationship between people and the spaces in which they function and how better understanding of such relationships can deepen our understanding of academic libraries as spaces and places.
Connecting to Pittsburgh Area Community Archives
Authors: Gunn Chelsea , Thaler Jane , Thaxton Mahogany
Published: October 2022

Through a project called Documentation Lab, we have begun to develop a resource library and workshop series designed to identify and facilitate meaningful forms of support and connection for memory workers in Pittsburgh, working in partnership with local nonprofit Prototype PGH. Our primary goal is to support and strengthen connection and collaboration between Pittsburgh’s professional archival community and the local individuals and community groups engaged in the work of documenting and preserving materials that reflect their own experiences. In the next phase of this project, we will build upon this work by conducting an environmental scan of current community archives in Pittsburgh and conducting semi-structured interviews with local memory workers to learn about their work and communities, their current resources and needs, and whether or how they are interested in working with the MLIS program, and specifically with a Community Archives elective course.
Health, Libraries, Research and Education
Authors: Sullivan Zimmerman Margaret , Lenstra Noah , Ma Jinxuan , Rubenstein Ellen , Vardell Emily
Published: October 2022

Researchers in LIS have been working on projects related to health and wellness in various environments, whether related to medical libraries, public libraries, health information behavior, or health information-related community interventions. At the same time, researchers have explored new methods to educate students on both research and on health and wellness as it relates to LIS. It is our goal to bring together the two and create a collaborative panel in which both the panelists and audience participate in a dialog that highlights our research and our engagement with our students over the past couple of years examining health information and practices in our libraries, communities, and classrooms.

This non-traditional panel focuses on health and wellness research and its impact on student education and engagement in research activities. The session aims to provide an opportunity for both the organizers and the audience to share their research and/or research agendas and engage in conversations and feedback that can contribute to a cohesive understanding as to what researchers are doing in the area of health and wellness. Our objective is also to discuss current pedagogical practices or student engagement opportunities related to these topical areas. Some examples will be physical and mental health programs and services in public libraries, health literacy courses taught by LIS students in public libraries, health insurance education, using the OCLC Call to Action Opioid toolkit with public libraries, public library staff as health information facilitators, and much more.

The session will begin with the Health SIG members presenting their research through five-minute lightning talks. While the panelists describe their research, they will begin creating a visualization on Google Jamboard that represents the research being discussed. After these first presentations, the audience will be invited to share their own research, which will also be added to the collaborative board. Throughout this process, participants will be invited to offer constructive feedback on each contributor’s ideas. Through this process, we hope to create an exciting, interactive session in which the SIG members and the audience will have the opportunity to share research and teaching strategies and potentially find new collaborators.
The Library as a Public Space for Children
Authors: Kociubuk Jacqueline
Published: October 2022

Many US-based public libraries experience an influx of semi or unsupervised children and teens in their spaces afterschool. Though some public libraries have adopted after school homework centers and invested in other library-staff led programming, little is known about how school-aged children are collaborating together to shape shared public spaces under looser adult supervision and direction, using their various social and cultural identities to define the space they are in. This proposed study utilizes Placemaking theory and will be bounded by one recurring, unstructured, drop-in afterschool public library program for children. Insights from this study could potentially point to how, if at all, children are creating community, learning from each other, and engaging with the world in loosely supervised public spaces away from family and school, potentially informing better design of the library as a public space for children. Findings could also illuminate ways for informal learning practitioners to create more meaningful connections with children in afterschool spaces, support positive peer culture formation, and facilitate opportunities in a way that supports children’s autonomy free of the more neoliberal constraints of a formal school setting. This works-in-progress poster is specifically soliciting feedback regarding issues of consent and assent for research with latchkey children in public library spaces.
Connecting Talent Management to LIS Course Design
Authors: Crumpton Michael , Bird Nora
Published: October 2022

Today's libraries are faced with many of the employment and labor issues prevalent in the country today related to economic changes within the workforce, personal preferences, and workplace freedoms in the "what about me" economy. Employment needs of libraries are also undergoing tremendous change and the need for specific skills, or the management of the talent being hired becomes critical.

Each individual curriculum element in LIS course offerings can be critical to the future employment of LIS graduates. Program offerings should reflect expected success in applying an earned degree to the job market and individual courses can produce the learning and experience needed by new graduates seeking positions in a wide variety of situations and circumstances.

This poster will offer a schematic or infographic of employment talent needs and skills desired in libraries and connect these needs to course content. Skill requirements were derived from a qualitative study of ALA Joblist Data from 2006 through 2018 (used by permission of the ALA). We will encourage interactivity with viewers by encouraging them to help us make the connections between curricular development and the identified skills.

The learning outcome is to expand the awareness of course design to talent needs for successful employment of graduating students in a changing and dynamic employment market.
Reference in Discovery: Pilot Study and Future Directions
Authors: Costello Laura
Published: October 2022

This poster will describe the results of a pilot study focusing on the reference experiences of librarians working in web-scale discovery systems like Ex Libris Primo and Summon, EBSCO Discovery Service (EDS), and WorldCat Discovery. Web-Scale discovery systems rely on a central index and proprietary algorithms to provide a keyword-based search of library content to users that builds on their existing skills using commercial search engines. These systems are ubiquitous in academic libraries but require a shift in reference practice that has not been fully explored in the literature. This pilot study represents a developing dissertation project that will be in the proposal phase at the time of the poster session. The pilot study was based around four semi-structured qualitative interviews with academic librarians. Though the pilot study revealed some interesting insights on the research questions, one of the lessons learned from this study is that the “one voice” of librarian users is not enough to fully explore this issue. The author will discuss changes to the methodology of the project to include the narratives of users and other stakeholders in the data. The poster will also discuss changes to the theoretical foundations of the study that were developed through the data collected in the pilot study, including a greater focus on information literacy instruction in the reference encounter.