bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Analysis of Financial Report Effectiveness through Berlo Communication Model: A Case Study of PT Megah Sembada Industry, Indonesia
Authors: Setiawan Selfie , Fardinal  , Hidayah Nurul 
Published: October 2023

Aims: Effective communication is crucial in the delivery of the company's financial reports, to ensure that the reports produced can meet their objectives as receivers of financial information. This study aimed to empirically investigate the determinants that affect the effectiveness of corporate financial reporting.
Study Design: The research method employed in this study is descriptive quantitative research.
Place and Duration of Study: The study was conducted at Perseroan Terbatas Megah Sembada Industri (PT. MSI), a prominent nonwoven manufacturer specializing in disposable products and healthcare items in Indonesia.
Methodology: Data collection techniques was collected by observation, interviews, documentation, and distributing questionnaires.
Results: The results showed that the application of Berlo's SMCR (Source, Message, Channel, and Receiver) model in accounting information communication at PT MSI provides positive results in creating an effective work environment and producing quality financial reports.
Conclusion: This study confirmed that PT. MSI is able to report on time and accurately every month according to the actual data. The implication of this finding can be a foundation for other companies in improving their accounting information communication process to achieve better goals.
Effect of Polyethylene Glycol (PEG) on Germination and Seedling Parameters of Maize Varieties
Authors: Sajjad Zain ul , Fatima Zohaa , Awais Muhammad , Waheed Abdul , Ali Arham , Hashmi Qasim Ali , Abbas Mobeen , Sufyan Abu 
Published: October 2023

In an experimental framework employing a Factorial Randomized Complete Block Design (FRBCD), a study was conducted in July 2022 at the Crop Science Institute, NARC, Islamabad. The objective was to assess the impact of different Polyethylene Glycol (PEG) concentrations on two maize cultivars Sargodha 202 and OPV-3 under drought stress conditions. With triplicate replications, each experimental unit consisted of a pot filled with 4.5 kg of dry sand, where 10 seeds were planted. The 45-day study incorporated four treatment groups: T0 (Control), T1 (10% PEG), T2 (20% PEG), and T3 (30% PEG).
Data analysis revealed that increasing PEG concentrations led to a decline in key parameters such as germination rate, root elongation, and shoot development, while concurrently escalating seedling mortality in both cultivars. Statistical evaluations, carried out through the Least Significant Difference (LSD) method at a 5% significance level, highlighted notable differences between the treatment outcomes. Sargodha 202 exhibited superior performance relative to OPV-3, recording a germination rate of 91.66% as opposed to OPV-3's 83.33%. Furthermore, Sargodha 202 demonstrated enhanced root (13.08 cm) and shoot (50.08 cm) lengths in comparison to OPV-3, which showed 10.58 cm for root and 45.83 cm for shoot length. Sargodha 202 also displayed elevated levels of both root and shoot moisture content and a higher crop growth rate compared to OPV-3. Collectively, these results underscore the greater resilience and adaptability of Sargodha 202 under PEG-induced drought conditions.
Evaluation of In-vitro Anti-inflammatory Activity of Sri Lankan Medicinal Pill of Aloe vera, Centella asiatica, and Strychnos potatorum Exacts Using Egg Albumin Denaturation Assay
Authors: Pushpika G. D. S. , Maddumage R. S. , Perera H. E. H. , Fernando R. S. P. , Silva A. R. N. 
Published: October 2023

Aims: The study aims to evaluate the albumin heat denaturalization inhibition activity of a Sri Lankan Traditional Medicine pill (STMP) as an indirect measure of anti-inflammation.
Methodology: The extracts of Aloe vera, Centella asiatica (Asiatic pennywort), and Strychnos potatorum (Cleaning nut) are the ingredients of the pill. Concentration gradients from 1000 µg/ml to 0.02 µg/ml were prepared using egg albumin and phosphate buffer saline. The pill was incubated in controlled experimental settings at various concentrations, and the absorbance was measured to quantify the level of albumin denaturation. One NSAID (Ibuprofen) and one steroid (Prednisolone) were used as the reference drugs. The percentage inhibition of protein denaturation at each concentration was calculated by using the formula of (Vt / Vc - 1) x 100% where Vt = absorbance of the test sample and Vc = absorbance of control.
Results: The maximum inhibition rate of egg albumin denaturation (46.7%) was seen in the 200 µg/ml concentration, while Prednisolone and Ibuprofen had 2.5% and 24.6% inhibition rates in the same concentration, respectively. Less than 35% inhibition rate of egg albumin denaturation showed in all other concentrations lower than 200 µg/ml (0.1 µg/ml – 100 µg/ml) of this STMP. The inhibition rates of these concentrations did not differ noticeably from those of the reference medications. In addition, the STMP had a 28.3% inhibited rate of egg albumin denaturation in 1000 µg/ml concentration while Prednisolone and Ibuprofen showed low inhibition rates compared to the STMP (3.4% and 13.8% respectively) in this concentration.
Conclusion: This study discovered that 200 µg/ml of the tested Sri Lankan Traditional Medicine pill had the strongest anti-inflammatory efficacy against protein denaturation. Furthermore, the effect against albumin denaturation in high-concentration Sri Lankan STMP (200 µg/ml and 1000 µg/ml) surpassed that of the reference drugs, signifying a more pronounced impact.
Impact of Herbicides on Soil Fertility and Nutrient Uptake by Transplanted Rice (Oryza sativa L.) in Eastern U.P, India
Authors: Jaysawal Peeyush Kumar , Verma S. K. , Pratap Vijay , Yadav Deepak Kumar , Tirkey Niketa , Singh Sachin 
Published: October 2023

A field experiment was carried out at Agricultural Research Farm, Institute of Agricultural Sciences, Varanasi during kharif 2017 and 2018 to evaluate the nitrogen intake by transplanted rice (Oryza sativa L.) and the available nutrient status of soil under ten weed control treatments. The treatment bispyribac-Na 9.1% (24.57 g/ha) + metsulfuron-methyl 1.2% (3.24 g/ha) + chlorimuron ethyl 1.2% (3.24 g/ha) recorded higher Organic carbon (0.47%), pH (7.38), EC(0.18 dS m-1), available N193.48 kg/ha, P22.46 kg/ha, and K 221.56 kg/ha in soil, higher nutrient (N, P and K) content in grain 1.14, 0.33, 0.38%, and straw 0.74, 0.12, 1.74% and protein content 6.81 & 4.42% in grain and straw, respectively. improved N, P, K uptake in grain 58.57, 17.06, 19.23 kg/ha and straw 71.00, 11.36, 166 kg/ha, respectively over weedy check (grain 46.09, 13.35, 15.10 kg/ha and straw 58.58, 9.38 and 137.65 N, P and K respectively). This treatment exhibited positive performance of soil fertility and N, P and K uptake by transplanted rice.
Response of Inorganic Fertilizers, Organic Manure and Biofertilizer on the Physical Parameters of the Soil under the Cultivation of Chickpea (Cicer arietinum L.) CV. Arun
Authors: Kumar Anil , David Arun Alfred , Thomas Tarence , Bharose Ram , Swaroop Narendra , Lall Alok M. , Reddy Iska Srinath , Serawat Rohan , Toppo Neha 
Published: October 2023

Application of inorganic fertilizer, biofertilizer and organic manure to the soil can have various effects on the physical parameters of soil, such as soil structure, porosity, water holding capacity, bulk density. The designed lay out 48 total soil samples were taken from different depths 0-15 cm and 15-30 cm. The optimal combination of these inputs depends on the type of soil, crop and climate. Generally, the application of organic manure can improve the soil structure and porosity, while the addition of biofertilizer can enhance the soil fertility and microbial activity. The use of inorganic fertilizer can provide essential nutrients for plant growth, but it should be applied in appropriate amounts and forms to avoid negative impacts on the soil quality. The conjunctive use of N P K and different vermicompost and rhizobium the treatment T16- [RDF @ 100 % + VC @ 100 % + Rhizobium @ 100 %] gave best results physical properties of soil.
Burn Out and Psychological Distress among Care Givers of Dementia Patients Attending the Out Patient Geriatric Clinics of Two Nigerian Tertiary Health Institutions
Authors: Okwaraji Friday E. , Onyebueke Godwin C. , Nwakaego Okwor Esther 
Published: October 2023

Aim: This study investigated burnout and psychological distress among 460 caregivers of dementia patients attending the outpatient geriatric clinics of two Nigerian tertiary health institutions.
Study Design: The study used the descriptive cross sectional study design.
Place and Duration of the Study: The study was conducted at the outpatient geriatric clinics of two tertiary health institutions in Enugu, South East Nigeria between the months of July and August 2023.
Methodology: A total of 460 care givers of dementia patients, aged 18- 65 years, attending the outpatient geriatric clinics of two tertiary health institutions in Enugu, who consented to participate in the study, were assessed for burnout and psychological distress using the Maslach Burnout Inventory (MBI), and the General Health Questionnaire (GHQ-12).
Results: Result showed that 23.9% had emotional exhaustion, 14.6% had depersonalization and 18.5% had reduced personal accomplishment, while psychological distress was present in 39.6% of the respondents. Significant relationships were noticed between age and psychological distress, \(\chi\)2=57.36; p= 0.03; marital status and burnout \(\chi\)2=10.95; P= 0.01 as well as education and psychological distress \(\chi\)2=10.95; p= 0.05.
Conclusion: High levels of burnout and psychological distress were present among the caregivers who participated in the study, in view of this there is need for government to ensure proper institutional care for dementia patients and provide some incentives for those who care for them. Policy formulation should also aim at establishing community caregiving centers were dementia patients can receive adequate attention from government agencies.
Overcoming ROS Resistance of Photodynamic Therapy with Self‐Assembled Nano‐Prodrugs for Efficient Triple‐Negative Breast Cancer
Authors: Li Bowen , Tian Jianwu , Xie Xin , Zhang Fu , Wu Chongzhi , Shan Yi , Qi Guobin , Song Wentao , Ping Yuan , Liu Bin 
Published: October 2023

AbstractTriple‐negative breast cancer (TNBC) is endowed with a highly aggressive nature that results in distant metastases and high recurrence rates, yet limited success is realized in traditional chemotherapy. Activatable photosensitizers (PSs) may provide an effective and non‐invasive strategy to induce TNBC cell death in a precise way by offering stimuli‐responsive reactive oxygen species (ROS). However, the toxicity of ROS is often mitigated and even devitalized by the instinctive behavior of ROS resistance in TNBC cells. To address this issue, herein a small molecular self‐assembly nano‐prodrug is presented to co‐deliver an activatable PS and ROS resistance inhibitor. In TNBC cells, the overexpressed glutathione can disassemble the nano‐prodrug, thereby releasing ROS resistance inhibitor and activating the PS for photodynamic therapy and fluorescence imaging. A hybrid membrane coating‐assisted nanoparticle formation strategy is further demonstrated for efficient inhibition of tumor growth and distant metastases on both subcutaneous and orthotopic TNBC mice models.
3D Printing of Self‐Healing Materials
Authors: Roppolo Ignazio , Caprioli Matteo , Pirri Candido F. , Magdassi Shlomo 
Published: October 2023

AbstractThis review article presents a comprehensive overview of the latest advances in the field of 3D printable structures with self‐healing properties. Three‐dimensional printing (3DP) is a versatile technology that enables the rapid manufacturing of complex geometric structures with precision and functionality not previously attainable. However, the application of 3DP technology is still limited by the availability of materials with customizable properties specifically designed for additive manufacturing. The addition of self‐healing properties within 3D printed objects is of high interest as it can improve the performance and lifespan of structural components, and even enable the mimicking of living tissues for biomedical applications, such as organs printing. The review will discuss and analyze the most relevant results reported in recent years in the development of self‐healing polymeric materials that can be processed via 3D printing. After introducing the chemical and physical self‐healing mechanism that can be exploited, the literature review here reported will focus in particular on printability and repairing performances. At last, actual perspective and possible development field will be critically discussed.
Recent Developments and Future Directions of Wearable Skin Biosignal Sensors
Authors: Kim Dohyung , Min JinKi , Ko Seung Hwan 
Published: October 2023

AbstractThis review article explores the transformative advancements in wearable biosignal sensors powered by machine learning, focusing on four notable biosignals: electrocardiogram (ECG), electromyogram (EMG), electroencephalogram (EEG), and photoplethysmogram (PPG). The integration of machine learning with these biosignals has led to remarkable breakthroughs in various medical monitoring and human–machine interface applications. For ECG, machine learning enables automated heartbeat classification and accurate disease detection, improving cardiac healthcare with early diagnosis and personalized interventions. EMG technology, combined with machine learning, facilitates real‐time prediction and classification of human motions, revolutionizing applications in sports medicine, rehabilitation, prosthetics, and virtual reality interfaces. EEG analysis powered by machine learning goes beyond traditional clinical applications, enabling brain activity understanding in psychology, neurology, and human–computer interaction, and holds promise in brain–computer interfaces. PPG, augmented with machine learning, has shown exceptional progress in diagnosing and monitoring cardiovascular and respiratory disorders, offering non‐invasive and accurate healthcare solutions. These integrated technologies, powered by machine learning, open new avenues for medical monitoring and human–machine interaction, shaping the future of healthcare.
Visual Functional–Structural Plant Modeling Innovatively as a Compound Eye: Opening a New Way for Advancing the Scientific Cognition of Plant Vision
Authors: Lin Yi 
Published: October 2023

AbstractPlant vision is an interesting interdisciplinary branch of botany and vision science, and its emerging studies have composed an epic journey of discovery. However, there are few endeavors on modeling how a plant as an integrity sees. Inspired by the similarity between those discovered laws of plant vision and the visual performance of some insect species with compound eyes, the visual functional–structural plant modeling as a compound eye is innovatively proposed. Using this adapted basic‐pattern‐oriented modeling, we tried to validate its feasibility in terms of the structural support, visual pathway, and functional performance. First, for a diversity of woody plants, their crowns proved to show self‐similar profiles, which render the omnidirectional surfaces for structurally supporting the proposed model. Second, for many plant species, their branching proved to abide by the Pareto front, which ensures the optimality of assuming the visual pathway along the branching network. Third, in canopies the varying, but existing horizontal and vertical modes of crown shyness are detected, which in functional performance accords with the panoramic visibility of the proposed model. Overall, the feasibility of compound eye modeling is validated preliminarily, with the implication of opening a way for advancing the scientific cognition of plant vision.
Sustainable development: The role of sustainability committees in achieving ESG targets
Authors: Abdullah Aso , Yamak Sibel , Korzhenitskaya Anna , Rahimi Roya , McClellan Jeanette 
Published: October 2023

AbstractThis study investigating the impact of sustainability committee characteristics (SCCs) on corporate sustainability performance (CSP) utilised environmental, social and governance (ESG) scoring. Based on secondary data obtained from Refinitiv, Fame and FTSE 150 databases, the sample consists of 112 non‐financial companies from 2010 to 2018, thus 926 firm‐year observations. The results reveal a positive and significant relationship between organisational factors including firm size, profitability and firm age across combined ESG and environmental scores. As for the sustainability committee characteristics, there is a positive association between frequency of committee meeting and age diversity with governance scores and a negative relationship between frequency of committee meeting and environmental performance. The empirical finding shows positive and negative relationships under the presence of focussed and non‐focussed committees equally. Furthermore, the presence of focussed or non‐focussed sustainability committees (SCs) do appear to have an association with the overall CSP. Furthermore, this paper provides empirical evidence of the insignificant relationship of SCC with the sub‐dimension of social performance, which contradicts our hypothesis and existing studies. Together with SCC's weak associations with environment and governance dimensions, this finding supports the argument that firms are actively using sustainability committees to create positive public image and reputation to protect legitimacy.
Impact of the COVID‐19 pandemic on the mortality among patients with colorectal cancer in Hiroshima, Japan: A large cancer registry study
Authors: Miyamori Daisuke , Kamitani Tsukasa , Yoshida Shuhei , Shigenobu Yuya , Ikeda Kotaro , Kikuchi Yuka , Kashima Saori , Yamamoto Yosuke 
Published: October 2023

AbstractBackgroundThis retrospective cohort study aimed to evaluate the impact of the COVID‐19 pandemic on colorectal cancer care and mortality using a large cancer registry in Hiroshima Prefecture, Japan. The study aimed to estimate the all‐cause mortality rates within 1 year of diagnosis among colorectal cancer patients diagnosed during the pandemic period (2020 and 2021) compared to those diagnosed during the pre‐pandemic period (2018 and 2019).MethodsThe day of diagnosis was set as Day 0 and Cox regression models were utilized to estimate crude hazard ratios (HRs) and adjusted HRs, accounting for age, sex, cancer stage, and treatment status. Two sensitivity analyses of overall survival were performed with different cutoffs of the pre‐pandemic/pandemic periods and year‐to‐year comparisons. Subgroup analyses were performed using likelihood ratio tests.ResultsA total of 15,085 colorectal cancer patients were included, with 6499 eligible for follow‐up. A median age of included patients was 72 years old, of which 59% were male. The distribution of cancer stages showed little variation between the pre‐pandemic and pandemic periods. With a median follow‐up of 177 days, the number of events was 316/3111 (173 events per 1000 person‐years [E/1000PY], 95% confidence interval [CI]: 154–192 E/1000PY) in the pre‐pandemic period, and 326/2746 (245 E/1000PY, 95% CI: 220–274 E/1000PY) in the pandemic period (crude HR: 1.42, 95% CI: 1.22–1.66; adjusted HR: 1.25, 95% CI: 1.07–1.46). The two sensitivity analyses and subgroup analyses consistently supported these findings.ConclusionsThe study revealed an increased colorectal cancer mortality during the pandemic period, suggesting a continuous impact of the COVID‐19 pandemic on the known and unknown risk factors for colorectal cancer for several years. Further studies are necessary to mitigate the adverse effects on patient outcomes.
Fluorinated Benzimidazole‐Linked Highly Conjugated Polymer Enabling Covalent Polysulfide Anchoring for Stable Sulfur Batteries
Authors: Haldar Sattwick , Khan Arafat H. , De Ankita , Reichmayr Fanny , Morag Ahiud , Yu Minghao , Schneemann Andreas , Kaskel Stefan 
Published: October 2023

AbstractSulfur is one of the most abundant and economical elements in the p‐block family and highly redox active, potentially utilizable as a charge‐storing electrode with high theoretical capacities. However, its inherent good solubility in many electrolytes inhibits its accessibility as an electrode material in typical metal‐sulfur batteries. In this work, the synthetically designed fluorinated porous polymer, when treated with elemental sulfur through a well‐known nucleophilic aromatic substitution mechanism (SNAr), allows for the covalent integration of polysulfides into a highly conjugated benzimidazole polymer by replacing the fluorine atoms. Chemically robust benzimidazole linkages allow such harsh post‐synthetic treatment and facilitate the electronic activation of the anchored polysulfides for redox reactions under applied potential. The electrode amalgamated with sulfurized polymer mitigates the so‐called polysulfide shuttle effect in the lithium‐sulfur (Li−S) battery and also enables a reversible, more environmentally friendly, and more economical aluminum‐sulfur (Al−S) battery that is configured with mostly p‐block elements as cathode, anode, and electrolytes. The improved cycling stabilities and reduction of the overpotential in both cases pave the way for future sustainable energy storage solutions.
Design and Preparation of a Bifunctional Nanobiohybrid Catalyst by Combining Palladium and α‐Amylase Enzyme: Application in One‐pot Chemoenzymatic Catalysis
Authors: Kaur Parmjeet , Tyagi Vikas 
Published: October 2023

AbstractA chemoenzymatic approach that combines chemical and bio‐catalyst has proven very useful in synthetic chemistry, however, mutual deactivation of chemical and bio‐catalyst when employed in the same pot is still a challenge. In this context, the development of nanobiohybrid catalysts has played an important role and overcoming the issue of mutual deactivation between catalysts to a certain extent. Herein, we design and synthesize a novel heterogeneous recyclable nanobiohybrid catalyst comprising palladium nanoparticles and α‐amylase from Aspergillus oryzae immobilized onto halloysite nanotubes as a solid heterogeneous support. Further, the wider applicability of the developed nanobiohybrid catalyst is revealed in the one‐pot chemoenzymatic synthesis of functionalized biphenyls and bis(indolyl)methanes which consists of Pd‐catalyzed Suzuki‐Miyaura coupling and α‐amylase mediated aza‐Michael addition or electrophilic substitution reactions respectively. Further, the robustness and generality of the developed one‐pot chemoenzymatic synthesis are demonstrated by incorporating different substitutions at the starting materials and obtaining the corresponding products in moderate to good yields.