bluuebunny/crossref_metadata_2025 huggingface dataset:
An Evaluation Study on the Analysis of People’s Domestic Routines based on Spatial, Temporal and Sequential Aspects
Authors: Arribas Velasco Aitor , McGrory John , Berry Damon
Published: September 2023

The concept of collecting data of people using a domestic space is not novel. However, the methods and processes used to decipher this raw data and transform it into useful and appropriate information (i.e., sequence, duration, and timing derived from domestic activities) have been challenging and the focus of many research groups. But how are the results of the decoded transposition received, interpreted and used by the various professionals (e.g., occupational therapists and architects) who consume the information? This paper describes the inclusive evaluation process undertaken, which involved architects, engineers and end-users (not the occupant, but the care team managing the occupant). Finally, our study evidence the importance of making accessible to a multidisciplinary audience spatial, temporal and sequential aspects derived from people's domestic routines. Shedding light on how a systematic approach to collecting, processing and mapping low-level sensor data into higher forms and representations can be a valuable source of knowledge for improving the domestic living experience.
Large-Scale Data Extraction from the UNOS Organ Donor Documents
Authors: Rychlik Marek , Tanriover Bekir , Han Yan
Published: September 2023

The scope of our study is all UNOS data of the USA organ donors since 2008. The data is not analyzable in a large scale in the past because it was captured in PDF documents known as ``Attachments'', whereby every donor is represented by dozens of PDF documents in heterogenous formats. To make the data analyzable, one needs to convert the content inside these PDFs to an analyzable data format, such as a standard SQL database. In this paper we will focus on 2022 UNOS data comprised of $\approx 400,000$ PDF documents spanning millions of pages. The totality of UNOS data covers 15 years (2008--20022) and our results will be quickly extended to the entire data. Our method captures a portion of the data in DCD flowsheets, kidney perfusion data, and data captured during patient hospital stay (e.g. vital signs, ventilator settings, etc.). The current paper assumes that the reader is familiar with the content of the UNOS data. The overview of the types of data and challenges they present is a subject of another paper. Here we focus on demonstrating that the goal of building a comprehensive, analyzable database from UNOS documents is an attainable task, and we provide an overview of our methodology. The project resulted in datasets by far larger than previously available even in this preliminary phase.
Sabinene a New Green Solvent: Use in the Synthesis of Thiazolo[5,4-b]pyridines by Thermal or Microwave Activation
Authors: Messire Gatien , Ferreira Veronique , Caillet Emma , Bodin Lyana , Auville Amelia , Berteina-Raboin Sabine
Published: September 2023

Following on from work already carried out in our laboratory on a new biomass-derived green solvent, eucalyptol, we are now turning our attention to sabinene as a new green solvent. Sabinene is also derived from biomass. We have shown that it can be used as such or distilled to synthesize thiazolo[5,4-b]pyridine heterocycles by thermal or microwave activation. This new solvent was compared with various conventional and green solvents. The conditions were optimized to enable us to carry out the syntheses in good yields, and we were able to show that sabinene, a natural bicyclic monoterpene, could be used effectively as a solvent.
Effects of Process Parameters in Thermoforming of Unidirectional Fibre-Reinforced Thermoplastics
Authors: Winhard Johannes , Nestler Daisy , Kroll Lothar
Published: September 2023

Process induced defects during thermoforming are widespread problems in laminate manufacturing. The aim of this study is to describe the effects of holding time and pressure on several properties of the manufactured laminate. A design of experiments is performed, followed by an analysis of variance to examine significant effects. Subsequently, a regression model is created to predict the laminate’s properties, which is also validated. The highest values of tensile strength and elongation at break are found for low settings of holding time and pressure. The fibre volume fraction is not affected by the process parameters. As holding time and pressure increase, significant fibre misalignment takes place, leading to a decrease of the mechanical properties. The regression model corresponds well with the validation and should be extended with further variables in subsequent studies.
Estimation of Two-Component Activities of Binary Liquid Alloys by the Pair Potential Energy Containing a Polynomial of the Partial Radial Distribution Function
Authors: Hang Jiulong Hang , Tao Dongping
Published: September 2023

An investigation of pair partial radial distribution functions and molecular pair potentials within a system has established that the existing potential functions are rooted in the assumption of a static arrangement of atoms, overlooking their distribution and vibration. In this study, Hill’s proposed radial distribution function polynomials are applied for the pure gaseous state to a binary liquid alloy system to derive the pair potential energy. The partial radial distribution functions of 36 binary liquid alloy systems reported in literature were examined and then validated using four thermodynamic models. Results show that the molecular interaction volume model (MIVM) and regular solution model (RSM) outperform other models when an asymmetric method is used to calculate the partial radial distribution function. The MIVM exhibits a mean standard deviation (SD) of 0.095 and a mean absolute relative difference (ARD) of 32.2%. Similarly, the RSM demonstrates a mean SD of 0.078 and an ARD of 32.2%. The Wilson model yields a mean SD of 0.124 and a mean ARD of 226%. The nonrandom two-liquid (NRTL) model exhibits a mean SD of 0.225 and a mean ARD of 911%. On applying the partial radial distribution function symmetry method, the MIVM and RSM outperform the other approaches, with a mean SD of 0.143 and a mean ARD of 165.9% for the MIVM. The RSM yields a mean SD of 0.117 and an ARD of 208.3%. The Wilson model exhibits the mean values of 0.133 and 305.6% for SD and ARD, respectively. The NRTL model shows an average SD of 0.200 and an average ARD of 771.8%. Based on this result, the influence of the symmetry degree on the thermodynamic model is explored by examining the symmetry degree as defined by the experimental activity curves of the two components.
Sepsis Outcome after Major Abdominal Surgery Does Not Seem to Be Improved by the Use of Pentameric Immunoglobulin IgM
Authors: Perrella Alessandro , Rinaldi Luca , Bernardi Francesca Futura , Guarino Ilaria , Castriconi Maurizio , Antropoli Carmine , Pafundi Pia Clara , Di Micco Pierpaolo , Sarno Marina , Capoluongo Nicolina , Minei Giuseppina , Perrella Marco , Frangiosa Antonio , Capuano Annalisa
Published: September 2023

Background: Sepsis still represents a major public health issue worldwide, and immune system plays a main role during infections and therefore its activity is mandatory to resolve this clinical condition In this report we aimed to retrospectively verify in real life setting the possible usefulness of Pentameric IgM plus antibiotic in recovering patients with sepsis after major abdominal surgery Materials/methods: We reviewed, from January 2013 until December 2018, all adult patients admitted in ICU for Sepsis or Septic shock (2) after major abdominal surgery. Among these patients, were identified those that according to legal indication and licence in Italy, were treated with Pentameric IgM plus antibiotic (Group A) or with antibiotic alone (Group B). We analysed the following parameters were evaluated: Blood gas analysis, Lactate, CRP, Procalcitonin, Endotoxin activity, Liver and Renal Function, Coagulation, Blood Cell count at different time points (Every 48 hrs for at least 7 days. Differences between groups have been analysed by Fisher’s exact test or Chi square test for categorical variables. Mann–Whitney U test or Kruskal–Wallis test have instead been performed to compare continuous variables. Univariate and Multivariate analysis were also performed Results: Over a period of 30 months 24 patients were enrolled in Group A and 20 patients in Group B. In those subjects no statistical differences have been found in terms of bacterial or fungal infection isolates, when detected in a blood culture test, or in inflammatory index, SOFA score, lactate levels and mortality rate. A 48hrs response was statistically more frequent in Group B than in Group A, while no differences were found in the other clinical and laboratory evaluation. Conclusions: Based on our results, the use of pentameric IgM do not seem to give any clinical advantage in sepsis after to major abdominal surgery.
C-arm Free Minimally Invasive Technique for Spinal Surgery
Authors: Tanaka Masato , Zygogiannnis Konstantinos , Sake Navenn , Arataki Shinya , Fujiwara Yoshihiro , Taoka Takuya , Modesto Thiago Henrique de Moraes , Chatzikomninos Ioannis
Published: September 2023

Background and Objectives: C-arm free MIS techniques can offer significantly reduced rates of postoperative complications such as blood loss and hospitalization time. Another advantageous long-term aspect is the notably diminished exposure to radiation which is known to cause ma-lignant changes. This study emphasizes that, in some cases of spinal conditions which require a procedural intervention, C-arm free MIS techniques hold stronger indications than open surgeries guided by image intensifier.

Materials and Methods: In this research, a retrospective analysis and review of various cervical and thoracic spinal procedures, performed in our hospital, by applying C-arm free techniques. The course of the study explains the basic steps of the procedures and demonstrating postoperative or intra-operative results. For anterior cervical surgery, we performed OPLL resection, while for posterior cervical surgery, we performed posterior fossa decompression for Chiari malformation, minimally invasive cervi-cal pedicle screw fixation (MICEPS) and modified Goel technique with C1 lateral mass screw for atlantoaxial subluxation. Re-garding the thoracic spine, we performed anterior correction for Lenke type 5 scoliosis, and transdiscal screw fixation for DISH fractures.

Results: C-arm free techniques are safe procedures that offer precise and high-quality postoperative results by offering sufficient spine alignment and adequate decompression depending on the case. Blood loss, postoperative pain and wound infection are other important aspects of spine surgery that must be always taken into consideration.
Conclusions: Navigated C-arm free techniques are safe and precise procedures implemented in the treatment of surgically demanding conditions. They can significantly increase accuracy while decreasing the operative time. They represent the advancement in the field spine surgery and are hailed as the future of the same
Immunity Induced by Inactivated SARS-CoV-2 Vaccine: Breadth, Durability, Potency, and Specificity in a Healthcare Worker Cohort
Authors: Chen Ying , Hu Caiqin , Wang Zheng , Su Junwei , Wang Shuo , Li Bin , Liu Xiang , Yuan Zhenzhen , Li Dan , Wang Hong , Zhu Biao , Shao Yiming
Published: September 2023

Vaccination has proven highly effective against severe acute res-piratory syndrome coronavirus 2 (SARS-CoV-2), but the long-term immunogenicity and the functional preserved im-mune responses of vaccines are needed to inform evolving evi-dence-based guidelines for boosting schedules. We enrolled 205 healthcare workers into a cohort study; all had received three doses of BBIBP-CorV (China Sinopharm Bio-Beijing Company) inactivated vaccine. We assessed SARS-CoV-2 specific binding antibodies, neutralizing antibody, and peripheral T and B cell responses. We demonstrated that more robust antibody re-sponses to SARS-CoV-2 were elicited by booster immunization compared to primary vaccination. Neutralizing antibody titers to SARS-CoV-2 Omicron variant were also efficiently elevated post homologous vaccine booster despite in a lower titer compared to the prototype stain. In addition to S specific humoral and cellular immunity, BBIBP-CorV also induced N-specific antibody and ef-fector T cell responses. The third-dose vaccination led to further expansion of critical polyfunctional T cell responses, likely an essential element for vaccine protection. In particular, a func-tional role for Tfh cell subsets in immunity was suggested by the correlation between both CD4+Tfh and CD8+Tfh with total anti-body, IgG, B cell responses and neutralizing antibodies. Our study details the humoral and cellular responses generated by the BBIBP-CorV booster vaccination in a seven-month follow up study. There is a clear immunologic boosting value of homolo-gous inactivated SARS-CoV-2 vaccine boosters, a consideration for future vaccine strategies.
Humeral Resurfacing Arthroplasty (HRA): Clinical, Functional and Radiological Assessment at a Mean Follow-Up of 11 Years
Authors: Giannotti Stefano , Troiano Elisa , Saviori Marco , Crippa Orlandi Nicholas , Colasanti Giovanni Battista , Mondanelli Nicola
Published: September 2023

Humeral resurfacing arthroplasty (HRA) entails the substitution of the articular surface alone with a prosthetic cap without stem. It is a more conservative procedure which can be easily converted in a total arthroplasty if necessary. The present study aimed to evaluate the clinical and radiographical outcomes in a series of patients treated with HRA. 33 patients with a mean fol-low-up of 11 years were clinically (Constant score; Disability of the Arm, Shoulder and Hand score, DASH) and radiographically assessed before and after surgery. Constant and DASH score improved significantly after surgery, and only 2 cases needed revision surgery. HRA represents a valid therapeutic option in selected cases to improve the quality of life and delaying the need for more invasive procedures.
Titanium-Biohybrid Middle Ear Prostheses: A Preliminary In Vitro Study
Authors: Mosconi Mario , Carlotto Elena , Caliogna Laura , Berni Micaela , Gastaldi Giulia , Conti Michele , Brancato Alice Maria , Bina Valentina , Minervini Domenico , Malpede Stefano , Stellato Anna Chiara , Lazzerini Francesco , Bruschini Luca , Benazzo Marco , Canzi Pietro
Published: September 2023

Tissue bioengineering has been assuming a pivotal role in implementing alternatives to conven-tional ossicular middle ear replacement prostheses to overcome extrusion while preserving acoustic properties. This in vitro study aims to explore for the first time in current literature the feasibility of a biohybrid middle ear prosthesis composed of titanium surrounded by bone ex-tracellular matrix as bio-coating. We have hereby studied the adhesion and proliferation of human adipose-derived mesenchymal stem cells (hASC) on titanium scaffolds in vitro. Moreover, we identified the osteogenic differentiation of hASC using immunofluorescence assay to analyze osteoblasts gene expression profile (Alp, Runx2, Col1a1, Osx, and Bglap) and we accounted the presence of collagen as a marker of hASC ability to secrete extracellular matrix. We utilized scanning electron microscopy to evaluate the presence of extracellular matrix on the scaffolds. Our preliminary data demonstrated the titanium ability to support human adipose-derived mesenchymal stem cell colonization, proliferation, and osteoblastic differentiation, to obtain a biohybrid device. Our experience seems encouraging, we advocate further in vivo research to corroborate our results towards bone transplantation.
Prospects for Biological Control of Macadamia Felted Coccid in Hawaii with Metaphycus macadamiae Polaszek & Noyes, a New Encyrtid Wasp Native to NSW Australia
Authors: Yalemar Juliana A. , Tateno-Bisel Amber P. , Chun Stacey G. , Ramadan Mohsen M.
Published: September 2023

Macadamia Felted Coccid (MFC), Acanthococcus ironsidei (Williams) (Hemiptera: Eriococcidae) was first discovered in 2005 on the Island of Hawaii. Host plants are restricted to Macadamia species, with Macadamia integrifolia Maiden & Betche (Proteaceae) being grown in Hawaii for nut production. Approximately 16,900 acres of macadamia nuts are harvested in Hawaii with estimated farm value of $ 48.8 million (2019 - 2020 records). MFC has become a problem in macadamia orchards where heavy infestations cause the death of young seedlings, reduction in nut production, and severe damage can eventually kill affected trees. Chemical control and extant natural enemies have not suppressed the population of MFC to a manageable level. Exploration in Australia started in November 2013 for the evaluation of potential parasitoids being host specific for introduction into Hawaii. A dominant solitary endoparasitoid of MFC from New South Wales was discovered and described as Metaphycus macadamiae Polaszek & Noyes sp. n (Hymenoptera: Encyrtidae: Encyrtinae). Biology and host specificity testing were conducted at the Hawaii Department of Agriculture, Insect Containment Facility on nine Hemipteran and three Lepidopteran eggs. Results indicated that M. macadamiae is host specific to MFC. There has been no evidence of parasitism or host feeding on any of the non-target insect hosts that were tested. Parasitoid emergence from the control (MFC) averaged 30.2% compared to 0% on non-target hosts. Low rate of parasitoid emergence in the laboratory (average 30.2 %), and increased rate of MFC nymphal mortality was due to adult feeding. Percent field parasitism reached up to 32.7% emergence in the NSW Alstonville, Australia. We report on the parasitoid performance in native Australia, rearing biology, host specificity testing, and the extant natural enemies associated with MFC in Hawaii. A petition to release this parasitoid for the biocontrol of MFC in Hawaii is pending. Once permitted for release, the colony will be shared with South African Mac Nut Association for their biocontrol program of this invasive pest. They will conduct their own testing before approval for release.
Using Machine Learning Algorithms to find Novel Biomarkers for Breast Cancer using RNA-Seq Dataset
Authors: Abdul Abdullah , Paudel Roshan , Rahman Md Mahmudur
Published: September 2023

Breast cancer (BC) is the second leading cause of death in the United States in women. 1 in 8 women in their lifetime has a risk of developing breast cancer. With advances in omics technology, more data is available for diagnosis, treatment, and prognosis. The help of Machine Learning algorithms, a subdomain of Artificial Intelligence, would allow for a better clinical support tool. Machine Learning could be the key to answering a complex problem in BC. The methodology of this research question involves collecting and finding data such as RNA-Seq datasets, selecting and training appropriate machine learning algorithms, and evaluating the performance of the algorithms in predicting BC prognosis. Also, the study explores and tries to identify the most relevant genes and pathways through feature selection extraction and dimensionality reduction techniques. After applying feature extraction, the top 10 genes were extracted using the Univariate Feature Selection (UFS) method, precisely the SelectKBest technique. After employing different machine learning algorithms, such as Networks, Random Forest, Linear SVM, Logistic Regression, and Quadratic Discriminant Analysis (QDA), we found QDA was the best model in classifying the RNA-seq dataset with a 96% accuracy rate and 94% ROC AUC. This study suggests that AK2 and CD68 have a positive correlation with each other, and it could potentially be a biomarker and therapeutic target for BC.
Spike Optimization to Improve Properties of Ferroelectric Tunnel Junction Synaptic Devices for Neuromorphic Computing System Applications
Authors: Byun Jisu , Kho Wonwoo , Hwang Hyunjoo , Kang Yoomi , Kang Minjeong , Noh Taewan , Kim Hoseong , Lee Jimin , Kim Hyo-Bae , Ahn Ji-Hoon , Ahn Seung-Eon
Published: September 2023

The continuous advancement of Artificial Intelligence (AI) technology depends on the efficient processing of unstructured data, encompassing text, speech, and video. Traditional serial computing systems based on the von Neumann architecture, employed in information and communication technology development for decades, not suitable for the concurrent processing of massive unstructured data tasks with relatively low-level operations. As a result, there arises a pressing need to develop novel parallel computing systems. Recently, there has been a burgeoning interest among developers in emulating the intricate operations of the human brain, which efficiently processes vast datasets with remarkable energy efficiency. This has led to the proposal of neuromorphic computing systems. Of these, Spiking Neural Networks (SNNs), designed to closely resemble the information processing mechanisms of biological neural networks, are subjects of intense research activity. Nevertheless, a comprehensive investigation into the relationship between spike shapes and Spike-Timing-Dependent Plasticity (STDP) to ensure efficient synaptic behavior remains insufficiently explored. In this study, we systematically explore various input spike types to optimize the resistive memory characteristics of Halfnium-based Ferroelectric Tunnel Junction (FTJ) devices. Among the various spike shapes investigated, the square-triangle (RT) spike exhibited good linearity and symmetry, and a wide range of weight values could be realized depending on the offset of the RT spike. These results indicate that the spike shape serves as a crucial indicator in the alteration of synaptic connections, representing the strength of the signals.
IgY Antibodies from Birds: A Review on Affinity and Avidity
Authors: Pacheco Bianca Lisley Barboza , Nogueira Camila Parada , Venancio Emerson José
Published: September 2023

IgY antibodies are found in the blood and yolk of eggs. Several studies show the feasibility of utilising IgY for immunotherapy and immunodiagnosis. These antibodies have been studied because they fulfil the current needs for reducing, replacing, and improving the use of animals. Affinity and avidity represent the strength of the antigen-antibody interaction and directly influence antibody action. The aim of this review was to examine the factors that influence the affinity and avidity of IgY antibodies and the methodologies used to determine these variables. In birds, there are few studies on the maturation of antibody affinity and avidity and these studies suggest that the use of an adjuvant, type of antigen, strain of the animal, number of immunisations, and time interfere with the affinity and avidity of IgY antibodies. Regarding the methodologies, most studies use chaotropic agents to determine the avidity index. Studies involving solution phase and equilibrium titration reactions are also described. These results demonstrate the need for standardisation of methodologies for determination of affinity and avidity so that further studies can be performed to optimise the production of high avidity IgY antibodies.
Non-Random Enrichment of Single Nucleotide Polymorphisms Associated with Clopidogrel Resistance within Risk Loci Linked to the Severity of Underlying Cardiovascular Diseases: Role of Admixture
Authors: Monero-Paredes Mariangeli , Feliu-Maldonado Roberto A , Carrasquillo Kelvin , Gonzalez-Santiago Pablo , Rogozin Igor , Roche-Lima Abiel , Duconge Jorge
Published: September 2023

Cardiovascular disease (CVD) is one of the leading causes of death in Puerto Rico, where clopidogrel is commonly prescribed to prevent ischemic events. Genetic contributors to both a poor clopidogrel response and the severity of CVD have been identified mainly in Europeans. However, the non-random enrichment of single nucleotide polymorphisms (SNPs) associated with clopidogrel resistance within risk loci linked to underlying CVDs, and the role of admixture, has yet to be tested. This study aimed to assess possible interaction between genetic biomarkers linked to CVDs and those associated with clopidogrel resistance among admixed Caribbean Hispanics. We identified 50 SNPs significantly associated with CVDs in previous genome-wide association studies (GWAS). These SNPs were combined with another ten SNPs related to clopidogrel resistance in Caribbean Hispanics. We developed Python scripts to determine whether SNPs related to CVDs are in close proximity to those associated with clopidogrel response. Average and individual local ancestry (LAI) within each locus were inferred, and 60 random SNPs with their corresponding LAI were generated for enrichment estimation purposes. Our results showed no CVD-linked SNPs in close proximity to those associated with clopidogrel response among Caribbean Hispanics. Consequently, no genetic loci with a dual predictive role for risk of CVD severity and clopidogrel resistance were found in this population. Native American ancestry was the most enriched within risk loci linked to CVDs in this population. Non-random enrichment of disease susceptibility loci with drug response SNPs is a new frontier in Precision Medicine that needs further attention.
U-Net Embeded Gabor Kernel and Coaxial Correction Methods to Dorsal Hand Vein Image Projection System
Authors: Chen Liukui , Lv Monan , Cai Junfeng , Guo Zhongyuan , Li Zuojin
Published: September 2023

Vein segmentation and projection correction constitute the core algorithms of auxiliary venipuncture device, responding to the accurate venous positioning to assist puncture and reduce the number of punctures and pain of patients. This paper proposes an improved U-Net for segmenting vein and a coaxial correction for image alignment in the self-build vein projection system. The proposed U-Net is embedded by Gabor convolution kernels in the shallow layers to enhance segmentation accuracy. Additionally, to mitigate the semantic information loss caused by channel reduction, the network model is lightweighted by the mean of replacing conventional convolutions with inverted residual blocks. During the visualization process, a method that combining coaxial correction and homography matrix is proposed to address the non-planarity of the dorsal hand in this paper. First, use a hot mirror to adjust the light paths of both projector and camera to be coaxial, and then align the projected image with dorsal hand using a homography matrix. Using this approach, the device requires only a single calibration before use. With the implementation of the improved segmentation method, an accuracy rate of 95.12% is achieved by the dataset. The intersection over union ratio between the segmented and original images is reached at 90.07%. The entire segmentation process is completed in a 0.09 second, and the largest distance error of vein projection onto dorsal hand is 0.53mm. Experiments show that the device has reached practical accuracy and has the value of research and application.
An Observatory for the MET Oncogene; a Guide for Targeted Therapies
Authors: Altintas Dogus Murat , Comoglio Paolo Maria
Published: September 2023

The MET proto-oncogene encodes a pivotal tyrosine kinase receptor, binding the hepatocyte growth factor (HGF, also known as scatter factor, SF) and governing essential biological processes such as organogenesis, tissue repair, and angiogenesis. The pleiotropic physiological functions of MET explain its diverse role in cancer progression in a broad range of tumors; genetic/epigenetic alterations of MET drive tumor cell dissemination, metastasis, and acquired resistance to conventional and targeted therapies. Therefore, targeting MET emerged as a promising strategy, and many efforts were devoted to identifying the optimal way of hampering MET signaling. Despite encouraging results, however, the complexity of MET's functions in oncogenesis yields intriguing observations, fostering a humbler stance on our comprehension. This review explores recent discoveries concerning MET alterations in cancer, elucidating their biological repercussions, discussing therapeutic avenues, and outlining future directions. By contextualizing the research question and articulating the study's purpose, this work navigates MET biology's intricacies in cancer, offering a comprehensive perspective.
Enduring Fortitude: Unveiling Mother Ignacia del Espíritu Santo, the RVM Sisters, and Their Influence Amidst the COVID-19 Pandemic and Beyond
Authors: Eslit Edgar R.
Published: September 2023

This qualitative exploratory study employs purposeful and maximum variation sampling to explore Mother Ignacia del Espíritu Santo's spiritual journey and the devotion of RVM Sisters. Gathering thirty participants offers a diverse range of perspectives, providing insights into the local community. Thematic analysis highlights their impact during the pandemic in Iligan City. Ignacian spirituality spreads through education, retreat, other ministries and digital adaptation by the RVM Sisters. Through in-depth literature reviews, interviews, and observations, the researcher uncovers Mother Ignacia's journey, resonating with modern spirituality. RVM Sisters adapt during the pandemic, inspiring hope in words and in action. Their humility despite their accomplishments is particularly inspiring. This transformative journey holds significance, illuminating resilience in a post-COVID-19 context. The study contributes to literature and suggests amplifying RVM Sisters' influence. Overall, in a pandemic-stricken world, it emphasizes spirituality's role as a beacon of strength and compassion, inspiring revitalization. The essence of Mother Ignacia and the RVM Sisters' spiritual expedition serves as a celestial inspiration, guiding local residents toward compassion, fortitude, and collective renewal.
Significance of Medium-Wave AM Radio Broadcasting for Enhanced Disaster Resilience in Japan: A Case Study in the Kanto Region and Fukui Using Nonpowered Hoop-Shaped Radio
Authors: Shoji Eiichi
Published: August 2023

On the occasion of centenary anniversary of the Great Kanto Earthquake and commencement of radio broadcasting in Japan, this study reiterates the paramount importance of medium-wave (MW) AM broadcasting in safeguarding public safety and security. Utilizing the electromagnetic principles of MW, the author has earlier developed hoop-shaped radio (HOOPRA), which is a battery-free sustainable radio receiver. This study aims to determine the maximum achievable reception distance with HOOPRA for broadcasts from public stations, such as Nihon Hoso Kyokai (NHK) JOFG (927 kHz, 5 kW) in Fukui; and NHK JOAK (594 kHz, 300 kW) and JOAB (693 kHz, 500 kW) in the Kanto region. The significance of the findings in this study is that approximately 38 million individuals in the Kanto region, residing within an 80-km radius of JOAK or JOAB, can access broadcasts using only the energy of radio waves with HOOPRA. Additionally, ∼0.4 million people in Fukui, within a 15-km radius of JOFG, can potentially be recipients of the broadcast. Given that most transmitting stations operate at 5-kW power nationwide, HOOPRA can be effectively utilized within a 15-km radius of each station. Moreover, these outcomes validate the efficacy of HOOPRA as a radio receiver and provide valuable insights into the global potential applicability of MW AM radios. Furthermore, the current investigation underscores the need to reevaluate the significance of terrestrial MW broadcasting as a vital source of emergency information, especially in the event of anticipated natural disasters, such as the predicted Nankai Trough Earthquake.
EFEKTIFITAS MODUL BERBASIS LITERASI LINGKUNGAN MELALUI PENDEKATAN SAINTIFIK
Authors: Syofyan Harlinda , Ratnawati Susanto  , Oktian Fajar Nugroho  , Vebryanti  , Dita Ramadhanti  , Ratih  , Indah Mentari  , Rani Mahareka
Published: September 2023

Abstrak: Penelitian ini berlatar belakang tentang semakin menurunnya kesadaran kecintaan terhadap lingkungan dari generasi penerus bangsa ini. Perlu dilakukan internalisasi metode ataupun pendekatan dalam membangun kesadaran dalam menumbuhkan rasa bertangggung jawab kepada alam dan lingkungan. Lingkungan adalah tempat bernaung makhluk hidup sebagai tempat menjalani kehidupan. Pemenuhan kebutuhan akan hidup memberikan dampak buruk bagi lingkungan alam. Perhatian terhadap kelestarian lingkungan harus ditingkatkan dari berbagai aspek, salah satunya dalam bidang Pendidikan unttuk membimbing siswa dalam menumbuhkan generasi berliterasi lingkungan dengan menggunakan pendekatan saintifik. Siswa diajak mengamati, menanya, mengumpulkan informasi,menalar, dan kemudian mengkomunikasikan hasil yang telah disusun dari membaca, melihat fakta, serta berbagai informasi yang diperoleh dari berbagai cara dan sumber. Hal ini dapat dilatihkan melalui mahasiswa calon guru Pendidikan sekolah dasar untuk diterapkan dalam menunaikan tugas profesionalnya sebagai guru. Penelitian ini dilakukan untuk melihat keefektifan pemakaian modul berbasis literasi lingkungan melalui pendekatan saintifik dalam mata kuliah Konsep Dasar IPA Kelas Rendah. Subjek dari penelitian ini merupakan mahasiswa Pendidikan Guru Sekolah Dasar Universitas Esa Unggul Jakarta. Metode penelitian menggunakan penelitian pengembangan dengan menggunakan model Dick dan Carey. Keefektifan diukur berdasarkan hasil belajar yang didapatkan dari pretest dan postest. Hasil penelitian menunjukkan bahwa keefektifan penggunaan modul berbasis literasi lingkungan melalui pendekatan saintifik, dengan rata-rata kenaikan yakni 28%. Pendekatan Saintifik berbasis literasi lingkungan dapat digunakan dalam pembelajaran Konsep IPA Kelas Rendah.

Kata Kunci : modul, literasi lingkungan, pendekatan saintifik
PENGARUH METODE PICTURE AND PICTURE TERHADAP BERPIKIR KREATIF SISWA SEKOLAH DASAR
Authors: Laily Husniyah Mabruroh  , Apri Irianto  , Via Yustitia
Published: September 2023

Berpikir kreatif merupakan kemampuan yang dapat digunakan mengembangkan potensi diri menghadapi tantangan abad-21. Siswa sekolah dasar harus mempunyai ide-ide kreatif dan inovatif terkait pengetahuan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh metode picture and picture terhadap kemampuan berpikir kreatif. Populasinya adalah siswa kelas V SD Hang Tuah 10 Juanda. Melalui teknik simple random sampling, terpilih siswa kelas V-A sebagai kelas kontrol dan kelas V-F sebagai kelas eksperimen. Penelitian ini merupakan penelitian kuantitatif dengan desain penelitian Quasi Experimental Design-Posttest Only Control Group. Metode pengumpulan data menggunakan tes. Data tes kemampuan berpikir kreatif dianalisis dengan uji beda rerata. Hasil penelitian menunjukkan bahwa terdapat pengaruh metode picture and picture terhadap kemampuan berpikir kreatif siswa.
MANAJEMEN KURIKULUM PADA PENDIDIKAN SMP SATU ATAP DI KABUPATEN MURUNG RAYA
Authors: Aprianto
Published: August 2023

Penelitian ini bertujuan untuk meningkatkan kemampuan berpikir kreatif siswa dan hasil belajar siswa kelas VI SD Negeri Bakalan pada pembelajaran IPA melalui model pembelajaran berbasis proyek. Subjek penelitian berjumlah 15 siswa yang terdiri dari 10 siswa laki-laki dan 5 siswa perempuan. Penelitian ini dilaksanakan pada semester genap Tahun Pelajaran 2020/2021. Jenis penelitian yang digunakan dalam penelitian ini adalah Penelitian tindakan kelas (PTK). Pengumpulan data dilakukan dengan wawancara, observasi, dan tes. Teknik analisis data yang digunakan yaitu kualitatif dan kuantitatif. Berdasarkan hasil penelitian ini menunjukan bahwa model pembelajaran berbasis proyek dapat meningkatkan kemampuan berpikir kreatif siswa dan hasil belajar IPA pada muatan pembelajaran IPA di kelas VI A SDN Bakalan. Berdasarkan hasil analisis data dan pembahasan dalam penelitian ini untuk kemampuan berpikir kreatif siswa terdapat peningkatan mulai dari tahap pra siklus hingga siklus 2 yang mulanya rata-rata kemampuan berpikir kreatif siswa yaitu 26% menjadi 78%. Rata-rata kemampuan berpikir kreatif siswa dalam satu kelas naik 52%. Hasil belajar siswa juga mengalami peningkatan, berdasarkan data awal pra siklus sampai pada siklus 2. Rata-rata ketuntasan hasil belajar belajar siswa pada tahap pra siklus yaitu 13% menjadi 73% pada siklus 2. Rata-rata ketuntasan hasil belajar IPA siswa kelas VI A naik 60 %.
PENGEMBANGAN VIDEO ANIMASI JAWADWIPA MATERI KEBERAGAMAN BUDAYA UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR SISWA KELAS IV SEKOLAH DASAR
Authors: Deviana Putri Ari Sandy  , Mustaji Mustaji , Yermiandhoko Yoyok
Published: August 2023

Penelitian ini mempunyai tujuan untuk meningkatkan motivasi dan hasil belajar siswa melalui efektivitas penggunaan media video animasi Jawadwipa mata pelajaran IPS materi keberagaman kebudayaan siswa kelas IV SD Siti Aminah Surabaya. Jenis penelitian menggunakan metode pengembangan research and development (R&D) model DDD-E yaitu decide, design, develop, and evaluate dengan uji kelayakan menggunakan model eksperimen one shot case study. Sampel pada penelitian ini 30 siswa dari kelas IV. Pengumpulan data menggunakan kuesioner dan observasi dengan nilai rata-rata ketuntasan belajar melebihi KKM yaitu 81 dan ketuntasan klasikal mencapai 83%. Penelitian menggunakan video animasi Jawadwipa dinyatakan layak dan dapat digunakan sebagai alternative belajar siswa.
UPAYA MENINGKATKAN PEMAHAMAN KONSEP IPA MELALUI MODEL PEMBELAJARAN PROBING PROMPTING KELAS III SDN BATUJAYA KOTA TANGERANG
Authors: Perdiansyah Ferry , Prilia Ade Dwi
Published: August 2023

Penelitian ini dilator belakangi oleh masalah rendahnya aktifitas dan pemahaman konsep IPA pada siswa kelas III SDN Batujaya Kota Tangerang. Masalah pokok pada penelitian ini yaitu : (1) rendahnya minat siswa dalam pembelajaran IPA, (2) rendahnya motivasi siswa dalam pembelajaran IPA, (3) siswa kurang mengembangkan ide atau gagasan, (4) metode yang digunakan sebelumnya kurang tepat sehingga siswa kurang bersemangat dalam belajar. Penelitian ini menggunakan model probing promting dengan tujuan : (1) meningkatkan pemahaman konsep IPA melalui model pembelajaran Probing promting siswa kelas III SDN Batujaya Kota Tangerang, (2) untuk mengetahui apakah penerapan model pembelajaran probing promting dapat meningkatkan pemahaman konsep IPA siswa kelas III SDN Batujaya. Penelitian ini adalah penelitian tindakan kelas dengan pendekatan kualitatif. Dalam pengumpulan data penulis menggunakan beberapa metode yaitu : metode obsevasi, metode dokumentasi, metode tes. Adapun yang menjadi subjek dalam penelitian ini adalah siswa kelas III B Dengan jumla populasi 27 siswa. Hasil yang diperoleh di setiap siklus yaitu : pada pra siklus presentase pemahaman konsep siswa 22,22% yang berada di atas KKM, pada siklus 1 mengalami peningkatan pada presentase siswa yang memiliki nilai diatas KKM sebesar 64%, pada siklus II presentase peningkatan pemahaman konsep siswa mengalami peningkatan 83%. Peningkatan ini terjadi karena telah maksimalnya penggunaan model pembelajaran probing promting yang dilakukan oleh guru dan siswa sehingga terbiasa menggunakan model pembelajaran probing promting pada pembelajaran IPA. Kata Kunci : Pemahaman Konsep, Probing Prompting
Entrepreneurial Interest and Motivation Among Students, Case Study of BEM FIS UNJ Board Members
Authors: Pahala Indra , Fatgehipon Abdul Haris
Published: September 2023

The research wanted to see the interest and motivation of students, UNJ BEM FIS management in entrepreneurship. Competition in the business world sector is currently getting tighter, however, with the development of information technology providing opportunities that are open to all people to become business actors, advances in the field of digital and information technology have made conventional businesses have to adapt to the digital world, this has created new business opportunities for students, students who are young and generally master the digital world, currently have many roles in business in the digital world. The research method used is descriptive quantitative, the researcher makes an objective picture by using interview data to describe the research findings. Most of the board of BEM FIS UNJ are not aware of the importance of entrepreneurship, even though they have that potential.
Análisis de las propiedades mecánicas de un suelo expansivo para la autoconstrucción de una vivienda de interés social
Authors: González Sandoval Martin , Pérez Rea María de la Luz
Published: September 2023

El presente artículo de investigación muestra un análisis de un suelo expansivo del Residencial Santa Fe, en la zona Este de la ciudad de Santiago de Querétaro, México, con el fin de determinar el periodo anual en el que es más conveniente el inicio de la autoconstrucción de una vivienda de interés social. Las propiedades mecánicas del suelo (presión de expansión, ángulo de fricción y cohesión) se determinan mediante pruebas geotécnicas para conocer los posibles movimientos diferenciales del terreno y así evitar las deficiencias a corto plazo que estas casas sufren en nuestro país, obteniendo que el lapso idóneo para la edificación es octubre-marzo, caso contrario, en el periodo abril-septiembre es crítico, por lo que los cimientos aumentan en costo.
Guest Editorial: Brownfield Optimization The Key To Unlocking Sustainable Oil and Gas?
Authors: Benzie Scott
Published: September 2023

The topic of sustainability within the oil and gas industry has dominated news agendas in recent years. As ‘Net Zero by 2050’ goals loom closer, the sector is under greater pressure than ever to decarbonize operations and source oil and gas via more sustainable methods.

With the energy transition continuing at pace, the growth of renewable energy has been exponential. Energy sources such as nuclear and wind are set to account for a greater portion of the energy mix. Renewables expenditure is also expected to double over the next 10 years to more than $1,300 billion per year, and grid expenditure is likely to exceed $1,000 billion per year in 2030.

However, oil and gas will undoubtedly play a crucial role in meeting global energy demand for the foreseeable future. A recent industry report highlighted that conventional hydrocarbons are set to comprise 49% of the energy mix in 2050, emphasizing the sustained requirement for traditional hydrocarbons.

It is no secret the oil and gas sector is a high producer of carbon emissions, and according to the International Energy Agency, global production, transportation, and processing of oil and gas emitted the equivalent of 5.1 billion tons of CO2 in 2022. That’s almost 15% of total energy-related greenhouse gas emissions. So, how do we as an industry continue to extract this much needed energy source in a more-sustainable manner?

Methods to curb this emission are already in practice, with operators utilizing new technology to reduce waste-gas production, return the gas to on-site product streams, and reinject methane into reservoirs. A notable example came from ExxonMobil in January of this year with the company announcing it had stopped routine flaring of natural gas from production in the top US shale basin, using compressors to push natural gas to a pipeline. It has also allocated $17 billion through 2027 to lower its greenhouse gas emissions globally.

Electrification is also a hot topic, with operators investigating methodologies for how to reduce emissions from offshore assets. bp, Equinor, and Ithaca Energy recently signed a memorandum of understanding to explore electrification options for their offshore production facilities in the West of Shetland area in the North Sea. Electrification solutions could include power from shore, potentially from onshore wind, or from offshore wind. Full electrification would require in the region of 200 MW of power. If successful, the fields would become the first oil and gas developments on the UK Continental Shelf to be powered by electricity delivering a fully renewable solution.

These latest industry moves are bold. They certainly show that much-needed action is now taking place and that industry is responding to social and environmental pressures to make changes.
Enhancing SPARQL Query Performance with Recurrent Neural Networks
Authors: Chen YiHui , Lu Eric Jui-Lin , Lin Jin-De
Published: September 2023

DBpedia is one of the most resourceful link databases today, and to access information in DBpedia databases, we need to use query syntax (e.g., SPARQL). However, not all users know SPARQL, so we must use a natural language query system to translate the user's query into the corresponding query syntax. It is costly and time-consuming for the query system to generate query syntax. Therefore, this paper proposes generating query syntax from natural language. Two multi-label learning methods are used for question transformation: Binary Relevance (BR) and Classifier Chains (CC). To predict all the labels that match the query intentions, we use Recurrent Neural Networks (RNNs) to build a multi-label classifier for generating RDF triples. To better consider the relationship between RDF triples, the Binary Relevance is integrated into an ensemble learning approach to propose an Ensemble BR. The experiments perform better than the other research to improve the query accuracy. (This article is submitted to IEEE Access with #Access-2023-19693 entitled Enhancing SPARQL Query Performance with Recurrent Neural Networks）
Gene expression profiling to find biomarkers determining the lung diseases using 63 children’s genomic data for 354 genes
Authors: Ge Mingliang
Published: August 2023

This study seeks to uncover the crucial genes or characteristics pivotal to the prevalence of chronic pulmonary conditions, such as asthma and postinfectious bronchiolitis obliterans (PIBO).
The methodology employed involves “Gene expression profiling”, a technique widely used by molecular scientists to scrutinize cellular functionality. This approach facilitates the concurrent evaluation of the activity levels of hundreds of genes, allowing for an in-depth analysis of a cell's gene expression. Such data not only reveals a cell's type, condition, and surrounding environment, but also holds potential in areas like drug toxicity evaluation and the detection of disorders including cancer. It's notable that of the approximately 20,000 genes in the human genome, a mere fraction ever demonstrate active expression.
A variety of models were constructed and evaluated in this study, including but not limited to, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression. Findings from this research highlight that the highest accuracy levels, specifically 61%, were achieved by the Random Forest model for Set 1 and the Decision Tree model for Set 5, outperforming all other models tested.
Multi-source Directional Heat Conduction Method Based on Coordinate Transformation
Authors: Li Yang , he wenlei , Nie Zhe , Tian Jingyao , Zhang Huijie
Published: September 2023

Based on the optical transformation theory, the formal invariance of heat conduction equation was used to realize the transformation of constitutive parameters of heat conducting materials through coordinate transformation, so as to control the distribution of heat flow in physical space. In addition, on the basis of the research on the control method of heat flow propagation path, a multi heat source directional heat conduction method with complex boundary was studied for the case that the object was affected by a variety of internal and external heat sources, and the temperature field was uneven, resulting in irregular deformation. Based on translation transformation and compression transformation, the thermal conductivity distribution of directional heat conducting structural materials was derived, and the controllable propagation of heat flow from high temperature region to low temperature region was realized. By analyzing various distributions of multiple heat sources, an applicable directional heat conduction structure with multiple sources and complex boundaries was designed to realize passive control of temperature field. The performance of directional heat conduction in transient state was analyzed by Comsol software simulation.