bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life Table Parameters of Grape Mealybug Planococcus Ficus (Signoret, 1875) (Hemiptera: Pseudococcidae) on Different Vine Types
Authors: AMANGELDI Zhanerke , KEÇE Asime Filiz ÇALIŞKAN , ULUSOY Mehmet Rifat 
Published: January 2023

Abstract
In this study, the biology of Grape mealybug, Planococcus ficus (Signoret, 1875) (Hemiptera: Pseudococcidae) was investigated on different grape varieties under laboratory conditions at 25 ± 1 0C temperature, 65 ± 5% RH and 16:8 h L: D photoperiod. Life tables of four different grapevine cultivars of P. ficus were created, two of which are for wine (Emir, Kalecik karası) and two for table grapes (Yalova incisi, Trakya ilkeren). The results determined that the most suitable vine varieties for pest development were Emir and Yalova incisi, which are white grape varieties. The Yalova incisi and Emir cultivar was determined as the most suitable host plant, with the highest values of life table parameters (T0 = 31,6.4 ± 0,96 days, R0 = 32,3 ± 10,0 female/female/offspring, r = 0,1 ± 0.01 female /female/day, GRR = 99,1 ± 16,99 nymphs/female) and (T0 = 38.4 ± 1.22 days, R0 = 40.8 ± 11.53 female/female/offspring, r = 9.7 ± 0.01 female /female/day, GRR = 155.1 ± 12.14 nymphs/female).
Some New Results on Energy of Graphs with Self Loops
Authors: Popat Kalpesh M. , Shingala Kunal R. 
Published: January 2023

Abstract
Note: Please see pdf for full abstract with equations.
The graph Gσ is obtained from graph G by attaching self loops onσ vertices. The energy E(Gσ) of the graph Gσ with order n and eigenvalues λ1, λ2, . . . , λn is defined as sum of absoute values of difference of eigenvalues and σ/n.It has been proved that if σ = 0 or n then E(G) = E(Gσ).The obvious question arise: Are there any graph such that E(G) =E(Gσ) and 0< σ < n? We have found an affirmative answer of thisquestion and contributed a graph family which satisfies this property.
An in vivo investigation on the wound-healing activity of Specific ligand for the innate repair receptor, ARA290, using a diabetic animal model
Authors: Mashreghi Moeen , Bayrami Zahra , Sichani Negin Asemi , Salamat Sara , Ghiabi Shamim , Ashari Sorour , Ghassemi-barghi Nasrin 
Published: January 2023

Abstract
The diabetic foot ulcer (DFU) are serious problems to diabetes and may be associated with late healing and septic manifestation, consequently result in amputation which is an extortionate incident. The innate repair receptor (IRR) is expressed by injured tissues and is activated by erythropoietin produced and released into damaged tissue. Activation of the IRR might provide benefit for diabetic wound healing. This study evaluated effect of a specific IRR agonist, ARA290, on skin wound repair. The aim of the present study was to evaluate the effect of topical application based on ARA290, in streptozotocin-induced diabetic incision wound models rats. The treatment was performed daily, until day 14 after wound induction. Wound closure was determined and the features of the repaired tissue were examined, including amount of collagen and protein content, biochemical parameters, antioxidant status and proinflammatory cytokines. The data confirmed wound healing activities via macroscopic, biochemical, immunofluorescent and molecular methods. There was meaningful acceleration in wound closure rate, decrease in the period of re-epitalization, greater amount of collagen and protein content in ARA290 treated group when compared with control group. The increase of serum insulin and HDL was divergent with blood glucose decrease and reduced lipid level. The healing effect was confirmed by reduced levels of inflammatory cytokines and lipid peroxidation and augmented antioxidants. The results propose that ARA290-arbitrated IRR activation may signify an appealing approach to treat diabetes-associated wound healing.
Sesame oil affect learning and memory impairment, anxiety and biomarkers of oxidative stress in rats with a long-term high-fat diet consumption
Authors: Rustaei Mojtaba , Sadeghian Reihaneh , Salehi Iraj , Sarihi Abdolrahman , Shahidi Siamak , Faraji Nafiseh , Komaki Alireza 
Published: January 2023

AbstractNowadays, high-fat foods are eaten in most societies, which causes memory impairment and anxiety through the oxidative stress pathway. Sesame oil (SO) has potential antioxidant properties. The hypothesis of this study was that sesame oil affect memory impairment and anxiety caused by a high-fat diet (HFD) in male rats. Eighty male Wistar rats were divided into eight groups (n = 10): control (standard diet; SD), the HFD, SD + SO (0.5, 1, or 2 ml/kg; once/day, gavage), and HFD + SO (0.5, 1, or 2 ml/kg; once/day, gavage) groups. All diets were given to the animals for three months. Finally, behavioral and oxidative stress parameters were measured. The step-through latency of retention test in SD + SO (0.5 or 1 ml/kg) groups increased more than the control group. Also, the Barnes test on training days revealed that the latency time to find the target hole increased in the HFD group compared with the control group. Moreover, the time spent on the open arms in the SD + SO (0.5 ml/kg) group improved remarkably than the control group. Total oxidant (TOS) level in the HFD + SO (0.5, 1, and 2 ml/kg) groups was lower than the HFD group. The level of total antioxidant capacity (TAC) in the SD + SO (2 ml/kg) group was higher than the SD + SO (0.5 ml/kg) group and the amount of thiol in the HFD group decreased compared with the control group. These findings suggest that the positive effects of SO on memory and anxiety are probably due to its antioxidant properties and the elimination of free radicals.
On the study of dye sensitized solar cells with high light harvesting efficiency and correlation of its chemical reactivity parameters with overall performance
Authors: Dua Harkishan , Kaya Savaş , Sarkar Utpal 
Published: January 2023

Abstract
In this study, thirteen donors with the same spacer and acceptor have been tested to model dyes for dye sensitized solar cell (DSSC). Amongst the thirteen donors, 7,7,13,13-tetramethyl-8,9,12,13-tetrahydro-2H,5H,7H,11Hpyrano[2′,3′:4,5]pyrano[2,3-f]pyrido[3,2,1-ij]quinoline-2,5-dione is found to possess the highest oscillator strength amongst the other dyes in first excited state. This donor has been studied further with five different acceptors, among which, the dye with rhodanine acetic acid acceptor as well as its conformer have the lowest HOMO-LUMO energy gap (Eg), highest absorption wavelength in the UV-visible spectrum with high oscillator strength and low exciton binding energy in the first excited state as compared to the other four dyes considered here. The rhodanine acetic acid based dyes have shown to outperform all the other four dyes in terms of chemical reactivity parameters. All the six dyes when tested further with the inclusion of an extra benzene spacer show enhanced overall performance, with the rhodanine acetic acid based dyes showing the most planarity, highest absorption wavelength, more suitable reactivity parameters etc. Correlation studies between the solar cell parameters and chemical reactivity parameters have also been conducted where a direct relationship between the chemical hardness of the dye and open circuit voltage has been observed.
Combination therapy of cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for recurrent leiomyomatosis peritonealis disseminata with endometriosis: a case report
Authors: Xiao Xiaoli , Wang Cong , Zhang Yuyuan , Li Fang , Zhang Huan , Ma Ruiqing , Zhai Xichao 
Published: January 2023

Abstract

Background Leiomyomatosis peritonealis disseminata (LPD) is a non-metastatic, homologous, multicentric benign disorder characterized by small leiomyomas scattered over the peritoneum and omentum. It is a rare and benign disease with invasive potential. LPD mainly attacks women of childbearing age, but it has also been reported in postmenopausal women, men, and young children. Non-specific clinical and imaging findings of LPD lead to difficult diagnoses and treatment. Case presentation This study reports the case of a patient with recurrent LPD with endometriosis after multiple myomectomies and hysterectomy, who presented recurrent abdominal pain with progressive exacerbation. Imaging examinations showed irregular shadows in the pelvic cavity and multiple nodular changes in the peritoneum, which were considered malignant lesions. A solid mass sized 10 mm × 9 mm × 10 mm in the inferior pelvis and nodules scattered over the surface of pelvic and abdominal organs and the peritoneum were detected during the surgery. The patient was treated with cytoreductive surgery (CRS), peritonectomy, ovarian ablation, and hyperthermic intraperitoneal chemotherapy (HIPEC). The surgery was challenging, and the intraoperative bleeding reached 900 ml. However, the patient recovered well and achieved a tumor-free survival of 13 months. Conclusions It was concluded that a combination of CRS, peritonectomy, ovarian ablation, and HIPEC is an effective therapeutic strategy for recurrent LPD.
Development and validation of predictive models for mortality and length of hospitalisation in adults with community-onset bacteraemia under the COVID-19 pandemic: Application of early data dynamics
Authors: Lee Ching-Chi , Hung Yuan-Pin , Hsieh Chih-Chia , Ho Ching-Yu , Hsu Chiao-Ya , Li Cheng-Te , Ko Wen-Chien 
Published: January 2023

Abstract
Background
Bacteraemia is associated with increased morbidity and mortality and contributes substantially to healthcare costs. The development of a scoring system to predict the short-term mortality and the length of hospitalisation (LOS) in patients with bacteraemia is essential to improve quality of care and reduce variance in hospital bed occupancy.
Methods
This multicentre study of patients hospitalised with community-onset bacteraemia retrospectively enrolled derivation and validation cohorts in the pre-COVID-19 and COVID-19 eras. This study developed five models to compare the performances of various scoring algorithms. Model I incorporated all variables available on day 0, Model II incorporated all variables available on day 3, and Models III, IV, and V incorporated the variables that changed from day 0 to day 3. This study adopted the statistical and machine learning (ML) methods to determine the crucial determinants of 30-day mortality and LOS in patients with community-onset bacteraemia, respectively.
Results
A total of 3,639 (81.4%) and 834 (18.6%) patients were included in the derivation and validation cohorts, respectively. Model IV best predicted 30-day mortality in both cohorts; it achieved the best performance (i.e., the largest area under the receiver operating characteristic [ROC] curve) according to the results of the logistic regression and most ML methods. The most frequently identified variables incorporated into Model IV were deteriorated consciousness from day 0 to day 3 and deteriorated respiration from day 0 to day 3. The generalised linear models and the majorities of ML methods also identified Model V as having the best performance (i.e., the lowest mean square error) in predicting LOS. The most frequently identified variables incorporated into Model V were deteriorated consciousness from day 0 to day 3, a body temperature ≤ 36.0°C or ≥ 39.0°C on day 3, and a diagnosis of complicated bacteraemia.
Conclusions
For hospitalised adults with community-onset bacteraemia, clinical variables that dynamically changed from day 0 to day 3 were crucial in predicting both the short-term mortality and their LOS.
Bacterial Contamination of surfaces in the surgical rooms at Al-Mak Nimer University Hospital, Shendi Town- Sudan, 2023
Authors: Dafaalla Afra Ahmed , Ali Alhaj Saad Mohamed Ahmed , Jubara Aamer Osman 
Published: January 2023

Abstract
Background; bacterial Contamination in surfaces at surgical rooms is one of the most life-threatening sources of infection acquired in hospitals for patients.
The study was conducted at El-Mak Nimer University Hospital in Shendi town from the beginning of October 2022 to January 2023 to isolate and identification of pathogenic bacteria in the surgical site environment.
Material and methods; 30 Samples were taken by passing a cotton swab on the surfaces in surgical rooms, than incubated in the laboratory, isolated and conducted the necessary tests to identify the types of bacteria.
Results; bacterial contamination was detected as 43.3% in the surfaces samples, pathogenic bacteria were 52% of the bacteria detected, 69.23% of pathogenic bacteria were Staphylococcus aureus, 23.07% was Pseudomonas and 7.7% was Klebsiella.
A developed algorithm for the evaluation of calibration intervals for equipment devices in testing and calibration laboratories
Authors: Sadek A. M. , Alsalamah Hussain M. 
Published: January 2023

Abstract
In the present study, a method has been developed to evaluate the calibration interval for equipment devices based on their calibration records. Small-shift sensitive control charts along with a linear predictive model have been used to predict the date at which the performance of the equipment is expected to be out-of-tolerance. The Monte-Carlo algorithm has been implemented to simulate errors of random and systematic trend components. The responses of the cumulative sum (CUSUM), V-mask, and moving average (MA) control charts have been investigated and compared with the usual Shewhart control chart in various cases. The CUSUM control chart has shown an optimum performance in assessing the systematic trend and reasonable estimation for the calibration intervals. An oversensitivity to the systematic trend error, on the other hand, has been observed in the performance of the V-mask QC that may lead to unnecessary short calibration intervals. The MA control chart has shown a similar performance to the CUSUM. However, its parameter requires to be adjusted based on the size of the calibration records.
Concise and interpretable multi-label rule sets
Authors: Ciaperoni Martino , Xiao Han , Gionis Aristides 
Published: January 2023

Abstract
Multi-label classification is becoming increasingly ubiquitous, but not much attention has been paid to interpretability. In this paper, we develop a multi-label classifier that can be represented as a concise set of simple “if-then” rules, and thus, it offers better interpretability compared to black-box models. Notably, our method is able to find a small set of relevant patterns that lead to accurate multi-label classification, while existing rule-based classifiers are myopic and wasteful in searching rules, requiring a large number of rules to achieve high accuracy. In particular, we formulate the problem of choosing multi-label rules to maximize a target function, which considers not only discrimination ability with respect to labels, but also diversity. Accounting for diversity helps to avoid redundancy, and thus, to control the number of rules in the solution set. To tackle the said maximization problem we propose a 2-approximation algorithm, which circumvents the exponential-size search space of rules using a novel technique to sample highly discriminative and diverse rules. In addition to our theoretical analysis, we provide a thorough experimental evaluation, which indicates that our approach offers a trade-off between predictive performance and interpretability that is unmatched in previous work.
Experimental Study of Corrosion Inhibition of Carbon Steel in Acidic Environment Using Natural Guar Gum
Authors: Chandio Azmat , Kumar Mukesh , Mashooque Suhail , Aftab Umair , Hussain Tanweer 
Published: January 2023

Abstract
Steel is considered as a versatile material due to intrinsic mechanical properties and potential technological applications. However, environmental exposure inevitably oxidize and cause catastrophic industrial failures. To mitigate the oxidation of steel, various prevention methods are adopted, which are toxic and expensive. Herein, an eco-friendly and inexpensive approach is studied to prevent carbon steel from oxidation in the HCl environment. Biodegradable, non-ionic and water-soluble green inhibitor containing hetero polysaccharides is prepared by using guar seeds. Electrochemical measurement studies reveal that guar gum creates a non-conductive adhesive layer between the metal and corrosive media by adsorbing on the metallic surface. Fourier transform infrared and surface analysis confirms the adsorption of guar gum molecules on the metal surface. Industrially viable Gravimetric analysis results provided a weight loss efficiency of 91% for 24 hours, which decreases with exposure time. Lastly, Temkin adsorption model is used to validate adsorption and resulting inhibition.
Polymer-free gel electrolyte and its application in TiO2 -based electrochromic devices
Authors: Gunathilaka H. M.B.I. , Seneviratne V. A. , Sarangika H. N.M. 
Published: January 2023

Abstract
Electrochromic devices based on polymer-free gel electrolytes (PFGE), offer several advantages over polymer electrolytes. The preparation and characterization of a fumed silica-based PFGE and its applications in TiO2 electrochromic devices (ECD) were the main aims of the present study. A series of liquid electrolytes were prepared by mixing lithium chloride (LiCl) and ethylene Glycol (EG). The total oxygen moles of EG to lithium ions of LiCl ratio (O: Li+) was altered from 5:1 to 80:1 and the ionic conductivities were measured. The highest ionic conductivity was observed for 15: 1 molar ratio with the value being the 1.28 × 10-2 S cm−1.
In order to prepare PFGE, (10 wt. %) of fumed silica from the total weight of EG and LiCl were added to the optimized liquid electrolyte EG/LiCl as the polymer-free gelling agent. The maximum ionic conductivity was found in O: Li = 10: 1, with the value being 8.94 × 10-3 S cm-1. Notable electrochromic properties of TiO2/FTO were observed with higher optical modulation of 73% at 700 nm and a noticeable switching speed of Tbleaching= 42.5 s and Tcoloring= 16.7 s were observed.
Cost-sensitive PLM-based Approach for Arabic and English Cyberbullying Classification
Authors: Harbaoui Azza , Benaissa Azzeddine Rachid , ghezala Henda Ben 
Published: January 2023

Abstract
Cyberbullying is a hurtful phenomenon that spreads widely on social networks and negatively affects the lives of individuals. Detecting this phenomenon is of utmost necessity to make the digital environment safer for youth. This study uses a bilingual classification of cyberbullying on Ara-bic and English datasets. A four-module approach is proposed. It consists of preprocessing the textual data, generating sentence embeddings, performing the classification, and evaluating the results of the models. The approach relies on two strategies based on transfer learning of pre-trained NLP models. The first uses PLMs (ELMo, Universal Sentence Encoder, BERT, distilBERT, and RoBERTa) to generate sentence embeddings, while the second adopts a fine-tuning procedure of BERT-based PLMs for cyberbullying classification. Due to the frequent class imbalance problem in the research literature, this study used cost-sensitive learning algorithms trained to maximize the Recall/F1 score. The aim is to search for the best classification model that most accurately separates the cyber-bullying and non-cyberbullying classes. The models achieve 75-84%.
Inconsistent effects of warming and increased precipitation on ecosystem multifunctionality in an alpine meadow
Authors: Shi Lina , Lin Zhenrong , Yao Zeying , Peng Cuoji , Hu Meng-ai , Yin Ning , Lu Xinmin , Zhou Huakun , Liu Kesi , Shao Xinqing 
Published: January 2023

Abstract
Climate change is well-known to alter the structure and function of grassland ecosystems. Warming and humidification are predicted to be the climate change trend on the Qinghai-Tibetan Plateau. However, understanding of how warming and increased precipitation affect ecosystem multifunctionality in alpine meadows is still limited. Here, we conducted an 8-year field experiment involving warming and increased precipitation in an alpine meadow to explore how warming, increased precipitation, and their interaction affect ecosystem multifunctionality through measuring plant and soil functions. The results indicated that increased precipitation, rather than warming or their interaction, had a positive effect on ecosystem multifunctionality. Warming altered the plant composition and decreased species richness, plant coverage, and plant nutrient carbon (C), nitrogen (N), and phosphorus (P) pools of sedges, but increased plant C, N, and P pools of legumes and N pools of grasses. Increased precipitation enhanced plant P pool of legumes and C, N, and P pools of grasses and aboveground community. Soil moisture and ammonium nitrogen also showed positive responses to increased precipitation. Furthermore, Pearson correlation analysis and structural equation modeling suggested that soil moisture, soil ammonium nitrogen, and plant nutrient pools jointly drove the response of ecosystem multifunctionality to increased precipitation. Our study highlighted the dominant role of precipitation in determining the influence of climate change on ecosystem multifunctionality in semi-arid alpine meadows.
Association between severe acute malnutrition in childhood and hematological disorders in adulthood: the Lwiro follow-up study in the Eastern Democratic Republic of the Congo
Authors: Bedha Aline , Shindano Tony , Hermans Michel P. , Havelange Violaine , Makali Samuel , Minani Jimmy , Ngaboyeka Gaylord , Kunaba Edwige , Donnen Philippe , Dramaix Michelle , Bisimwa Ghislain , Mwene-Batu Pacifique 
Published: January 2023

Abstract
Background: Despite growing evidence on the short-term deleterious effects of severe acute malnutrition (SAM) in childhood on hematopoiesis, little is known about the long-term hematological effects of SAM in low-income countries (LICs). Our study explored the association between childhood SAM and hematological disorders in young adults 11 to 30 years after post-SAM nutritional rehabilitation.
Methods: This follow up study investigated 97 adults (mean age 32 years) treated for SAM during childhood in eastern Democratic Republic of the Congo (DRC) between 1988 and 2007. Participants were compared to 97 aged- and sex-matched adult controls living in the same community with no history of SAM. Outcomes of interest were hematological characteristics and disorders in adulthood, assessed by various biological markers. Logistic and linear regression models were used to estimate the association between SAM in childhood and risk of hematological abnormalities.
Results: Compared to the unexposed, the exposed had higher mean white blood cells (/µl) [+840 (179 to 1501), p=0.013], neutrophils [+504 (83 to 925), p=0.019] and platelets (*103) [11.9 (8.1 to 17.9), p=0.038] even after adjustment for food consumption in adulthood. No difference was observed in red blood cells (RBC), hemoglobin and erythrocytes parameters. With regard to the risk of hematological disorders, in contrast to the unexposed, exposed subjects had a risk of hyperleukocytosis approximately three times higher [adjusted OR (95% CI): 2.98 (1.01 to 8.79), p=0.048]. No difference was observed in terms of anemia, leukopenia, increased platelets and thrombocytopenia between the 2 groups.
Conclusion: Adults with a history of SAM in childhood have hematological characteristics that could predispose to chronic low-grade inflammatory or infectious diseases that persists after nutritional rehabilitation in an environment with no nutritional transition. Larger cohort studies with bone marrow analyses could provide further understanding of the impact of SAM on the overall hematological profile in adult life