Related Complexes Research Articles

Room-temperature near-infrared phosphorescence of a bismuthinidene N,C,N pincer complex.

We report on the emissive properties of two related bismuth complexes, LBiBr2 and LBi, with a monoanionic 2,6-diiminophenyl N,C,N pincer ligand L. The Bi(III) complex phosphoresces at 77 K, while the bismuthinidene Bi(I) species represents the first example of a phosphorescent bismuth complex that emits in the near infrared at room temperature.

Geometrical and Electronic Structure of Fluorinated and Non-fluorinated Platinum(II) Tetraphenylporphyrin Complexes.

The composition of the saturated vapors of two platinum com-plexes with the macrocyclic ligands 5,10,15,20-tetraphenyl-porphyrin (PtTPP) and 5,10,15,20-tetrakis(pentafluoro-phenyl)-por-phyrin (PtTF5PP) and their structures were determined by syn-chronous gas-phase electron diffrac-tion/mass spectrometry (GED/MS). These porphyrin com-plexes are those with the heaviest metal atom in the coordination cavity that have been structurally investigated in the gas phase. The mass spectra confirm the presence of a single molecular form of each, PtTPP (T=629 K) and PtTF5PP (T=597 K). Their structures can serve as references for related com-plexes in the crystalline state or solutions. Differences between the geometries of PtTPP and PtTF5PP in the crystalline and gaseous states include a significant deformation of the tetrapyrrole macro-cycle in solid PtTPP. The experimental Pt-N bond lengths of both complexes are in agreement with quantum chemical calculations (DFT/B97D/ECP(Pt)) taking into account relativistic effects. The effect of lanthanide contraction is evident from the similarity of the Pd-N and Pt-N internuclear distances of analogous compounds. The strong electron density transfer from the porphyrin backbone to the metal ion and the resulting low effective positive charge on the platinum atom, studied by NBO and QTAIM methods, helps to rationalize the high catalytic activity of such platinum compounds.

Customer-Centric Value Assessment of Cryptocurrency Adaptation

Abstract This study examines Pakistani citizens’ behavioral intentions toward the adoption of cryptocurrency as a digital currency. Cryptocurrency refers to a form of currency that exists in digital or virtual form and relies on cryptography to ensure the security of transactions and regulate the generation of additional units. Cryptocurrencies have the potential to disrupt the global financial system. Cryptocurrency is a viable option for decentralized and secure transactions, offering enhanced transparency and lowering dependence on conventional financial institutions. The authors collected data from potential cryptocurrency customers or investors. Data were collected from Karachi (Pakistan). The study was conducted with the help of the diffusion of innovation theory (DOI), employing all its components (relative advantage, compatibility, complexity, trialability, and observability). The DOI model statements were modified and adapted to satisfy the requirements of this study. This empirical research report concludes that relative advantage (financial incentives, technology advancement, global accessibility, privacy and security, and P2P nature), compatibility (User-friendliness, Integration with existing systems, compatibility with digital lifestyles), and complexity (ease of use and mass adoption) contribute to the adoption. Trailability (lack of familiarity and risk aversion) and observability (limited exposure, lack of social proof, and negative stigma) are unrelated to customer behavior toward cryptocurrencies. In all these contexts, cryptocurrency adoption can enhance value co-creation. Finally, this study provides valuable insights for stakeholders.

SMARCA4 deficiency in small cell lung cancer: A case report and narrative review of the literature

SWItch/Sucrose Non-Fermentable (SWI/SNF) is a large protein complex with a central role in chromatin remodeling and genome transcription. The catalytic subunits of the SWI/SNF related BAF chromatin remodeling complex subunit ATPase 2 (SWI/SNF SMARCA2; also called BRM) and SWI/SNF related BAF chromatin remodeling complex subunit ATPase 4 (SMARCA4; also called BRG1) are encoded by the SMARCA2 and SMARCA4 genes, respectively, and are mutually exclusive. Loss of either SMARCA2 and/or SMARCA4 has been previously reported in several types of malignant solid tumors of the gastrointestinal and genitourinary tract. So far, their absence in non-small cell lung cancer has been observed in a series of studies involving primary tumors and cell lines, where it is associated with loss of differentiation and heightened tumorigenic potential leading to an unfavorable prognosis. SMARCA2 and SMARCA4 deficiency is frequent in solid predominant adenocarcinomas and tumors with low levels of bronchial epithelial markers, including thyroid transcription factor 1. A rare case of SMARCA4 deficiency in small cell lung cancer is described. A 57-year-old male patient, with no medical history of past illness, was admitted to our center for the investigation and management of a space-occupying lesion in the right upper lung lobe with tracheal and mediastinal infiltration. Biopsy of a lymph node in the right supraclavicular region was diagnostic for small cell lung cancer with regional loss of SMARCA4. The patient demonstrated progressive respiratory failure and clinical deterioration and eventually deceased despite intubation and transfer to the intensive care unit. This case indicates that SMARCA4-deficient small cell lung cancer may present with an aggressively deteriorating phenotype with poor outcomes for the patie

Tropical Cyclone Trajectory Prediction with Integration of Shallow Convolutional Layer and Bi-LSTM

Tropical cyclones are calamitous natural disasters that frequently result in severe economic losses. In order to enhance disaster response and management, as well as to reduce economic and humanitarian losses, it is imperative to forecast cyclones. This paper presents a deep learning approach using a Conv-Bi-LSTM model to forecast cyclone trajectories utilizing the HURDAT2 dataset. By integrating Convolutional layers with Bidirectional LSTM networks, the model effectively captures both spatial and temporal patterns in the data. After comparing with basic RNN, LSTM and GRU, proposed model illustrates better accuracy in trajectory predictions, even with relative complex routes. And thus, the proposed solution possesses potential in cyclone prediction so as to reinforce disaster responsiveness and further management.

Convergence rates for random feature neural network approximation in molecular dynamics

Random feature neural network approximations of the potential in Hamiltonian systems yield approximations of molecular dynamics correlation observables that have the expected error OK-1+J-1212, for networks with K nodes using J data points, provided the Hessians of the potential and the observables are bounded. The loss function is based on the least squares error of the potential and regularizations, with the data points sampled from the Gibbs density. The proof uses a new derivation of the generalization error for random feature networks that does not apply the Rademacher or related complexities.

MiR-145b/AP2B1 Axis Contributes to Noise-induced Sensorineural Hearing Loss In a Male Mouse Model.

Sensorineural hearing loss (SNHL) is an increasingly prevalent sensory disorder, but the underlying mechanisms remain poorly understood. Adaptor related protein complex 2 subunit beta 1 (AP2B1) has been indicated to be detectable in mature cochleae. Nonetheless, it is unclear whether AP2B1 is implicated in the progression of SNHL. Male CBA/J mice were exposed to 2-20 kHz broadband noise at 96 or 101 dB SPL to induce temporary or permanent threshold shifts (TTS or PTS). Auditory brainstem responses were measured for hearing loss evaluation. Bioinformatics analysis was used to predict the upstream miRNAs of Ap2b1. RT-qPCR and western blotting were utilized to determine miR-145b and AP2B1 expression in mouse cochleae. Luciferase reporter assay was implemented to verify the interaction between Ap2b1 and miR-145b. Bioinformatics analysis identified miR-145b as an upstream miRNA of Ap2b1. AP2B1 expression was decreased and miR-145b expression was increased in mouse cochleae after PTS noise exposure. miR-145b targeted and negatively regulated Ap2b1 in PTS noise-exposed mice. Depletion of miR-145b alleviated auditory threshold shifts and outer hair cell loss in mice with exposure to PTS noise. In conclusion, inhibition of miR-145b ameliorates noise-induced SNHL in mice by upregulating AP2B1 expression.

Peran Inovasi (PETIK DUREN) Pelayanan Tilik Kampung Penduduk Rentan dalam Meningkatkan Kesejahteraan Masyarakat Kabupaten Lamongan

PETIK DUREN Program (Pelayanan Tilik Kampung Penduduk Rentan) is a public service innovation in Lamongan Regency aimed at improving access to civil administration for vulnerable groups, such as individuals with mental health disorders (ODGJ) and persons with disabilities. This study analyzes the program's success using Everett M. Rogers' diffusion of innovation theory, which includes indicators of relative advantage, compatibility, complexity, trialability, and observability. Using a descriptive qualitative method with a case study approach, data were collected through in-depth interviews and official government reports.The analysis results show that the program successfully registered 161 individuals in 2023 and an additional 16 individuals by May 2024. Success is evident in the trialability and observability aspects, demonstrated through improved access to healthcare, education, and social assistance services. Simplified procedures and a proactive approach facilitate vulnerable groups in accessing civil documents. The program meets innovation indicators, especially relative advantage and compatibility, by creating efficient services tailored to local needs.However, challenges such as low community participation in certain areas and logistical constraints remain. Recommendations include strengthening data verification technology, training officers, and implementing a zoning approach to expand coverage. With these improvements, PETIK DUREN has the potential to become a national model for public service innovation in improving the welfare of vulnerable communities.

Copper-Catalyzed Unconventional Reactivities of Propargylic Esters

Propargyl esters, known for their reactivities of nucleophilic substitution and substitution-annulation reactions, have been extensively studied and summarized in a range of reviews. However, there is a notable lack of comprehensive comment on their unconventional reactivities. This review aims to bridge this gap by showcasing the versatility and potential of propargyl esters in enabling unconventional reaction patterns mediated by copper catalysts. Each reaction type is discussed in detail, with emphasis on the mechanisms and reaction conditions. We hope that this review will inspire the discovery of more new reaction modes of propargyl esters and provide new tools for the synthesis of related complex bioactive compounds.

Problems of regulation of dispute resolution mechanisms (arbitration) in legal relations with virtual assets

The article examines the influence of information technologies, in particular blockchain technology, on justice and the judiciary in the conditions of the formation of the digital economy and information society. The purpose of the study is to study the possibilities and difficulties of applying arbitration in disputes regarding virtual assets, analyze the problems associated with the introduction of the latest technologies, and identify the prospects for their use, especially in the context of the growing number of cross-border disputes in crypto markets. As part of the research, the author analyzes the relationship between blockchain and dispute resolution, focusing on the complications associated with determining jurisdiction in disputes that contain an international element. Modern trends in the use of blockchain technologies in the legal sphere are studied, as well as possible areas of their application in procedural law. Among the key aspects under consideration is the question of jurisdiction in cases involving virtual assets and the need to unify procedural norms for effective dispute resolution. The subject structure of the legal relationship is usually complex and multi-party, involving both virtual asset service providers (VASPs) and other intermediaries. The subjects of the dispute are often legal relations complex in nature, combining some related institutions of civil or commercial (economic) law, as well as institutions from other branches of law. The presence of a large volume of technical issues requires additional special expertise in such areas as cryptography, information technology, the functioning of Big data, etc. The article also analyzes the problems arising from the application of blockchain technologies in judicial proceedings, in particular in the context of crypto-evidence, smart contracts and alternative methods of dispute resolution. As a result of the study, conclusions were drawn that the use of arbitration in the resolution of disputes in crypto-relationships can significantly change traditional rules, reduce the burden on classical courts and ensure more effective resolution of cross-border disputes. The problem of the application of arbitration agreements to legal relations in the crypto market, conflicts in determining the jurisdiction of the court, and ways and proposals for overcoming them are highlighted. The study emphasizes that for the effective use of technology in the legal system, it is important to find a compromise between new technological opportunities and traditional legal norms, which will be the key to improving the quality of justice.

Extreme soil salinity reduces N and P metabolism and related microbial network complexity and community immigration rate.

Soil microbiomes are well known to suffer from the effects of rising salinity. There are, however, no current understandings regarding its specific effects on microbial metabolic functions associated with nitrogen (N) and phosphorus (P) cycling, particularly in the Yellow River Delta (YRD), one of the largest estuaries in the world. This research examined soil microbiomes at 50 sites in the YRD region to analyze their co-occurrence networks and their relationship with N (nitrification, denitrification, dissimilatory, assimilatory, fixation, and mineralization) and P (solubilization, mineralization, transportation, and regulation) metabolism processes. Our findings indicate a notable reduction in soil multifunctionality as salinity levels increase, with Halofilum-ochraceum playing a significant role in nitrification, whereas Bacteroidetes-SB0662-bin-6 helps solubilize inorganic P in highly saline areas. High soil salinity negatively affected the amoA gene involved in nitrification and increased the nosZ gene involved in denitrification in extreme salinity soil with 8.2g/kg salt content. Extreme salinity significantly reduced the expression of genes involved in inorganic P solubilization, such as ppa and ppx. Additionally, the alkaline P gene phoD exhibited significant decreases in extremely saline soils, thereby impeding the mineralization of organic P. The neutral community models indicated that microbial community immigration rate showed a linear negative relationship with soil EC in the six N and four P processes. Salinization, however, displayed a nonlinear pattern with clearly defined thresholds on the community of microbes involved in N and P cycling. Reduced microbial diversity and interactions are causing a decline in soil multifunctionality, and the soil multifunctionality and network edges jointly limited the microbial community immigration rate involved in N and P cycling. It is crucial to preserve soil microbial functions to support nutrient cycling and predict the ecological effects of soil salinization.

Ultrasound-guided hysteroscopic uterine evacuation in cases of missed abortion.

To describe the hysteroscopic, ultrasound-guided removal of missed abortion products of conception, emphasizing identification and resection of the different layers, visualization of the embryo and yolk sac, and maternal contamination-free direct sampling of the embryo and trophoblast. Illustration of a step-by-step innovative ultrasound-guided surgical technique for uterine evacuation during optically directed embryo and trophoblast biopsy. Private university-affiliated infertility center. Women with missed abortion, with or without a history of infertility or recurrent pregnancy loss. The 7 patients included in this video gave consent for publication of the video and posting of the video online including social media, the journal website, and scientific literature websites. Missed abortion was diagnosed by transvaginal ultrasound confirming loss of fetal heartbeat. After informed consent, the patient was brought to the operating room. Under deep sedation, a 5-mm hysteroscope was inserted transcervically, and the uterine cavity was distended with normal saline (80-100 mm Hg). The implantation site was identified by direct visualization and transabdominal ultrasound. The gestational sac was opened with hysteroscopic scissors, and the extracoelomic cavity was entered. The yolk sac and embryo were visualized and evaluated. Embryo and chorionic villi sampling were performed with hysteroscopic forceps. After removal of the embryo, resection of the gestational sac was accomplished with hysteroscopic forceps and scissors. Step-by-step educational video. Optically identified embryonic and trophoblastic tissue and the corresponding cytogenetic result were obtained in all cases, without maternal cell contamination. There were no intraoperative complications. Patients' follow-up revealed no cases of retained products of conception or intrauterine adhesions. All patients who attempted pregnancy were successful, without complications. Ultrasound-guided hysteroscopic removal of a missed abortion is noninvasive and potentially safer than conventional surgical techniques. It allows comparison of trophoblastic vs. embryo biopsy and resolution of, for example, mosaicism in placental pole preimplantation embryo biopsies. A potential disadvantage is the relative complexity of the procedure compared with routine dilation and curettage (1-5).

Using harmonicity to facilitate binaural fusion.

Harmonicity is an organizing principle in the auditory system, facilitating auditory object formation. The goal of the current study is to determine if harmonicity also facilitates binaural fusion. Participants listened to pairs of two-tone harmonic complex tones that were harmonically or inharmonically related to each other. When the components of two inharmonically related complex tones were divided between the ears, the resulting percept was not binaurally fused. In contrast, when the components of two harmonically related complex tones were divided between the ears, binaural fusion occurred, even absent interaural spectral overlap. This suggests that harmonicity can facilitate binaural fusion.

Differently-charged tautomeric forms of three related hexacoordinated complex compounds of Fe(II)

Differently-charged tautomeric forms of three related hexacoordinated complex compounds of Fe(II)

<b>Transformation of Islamic Higher Education: Policy Strategy, Challenges, and Opportunities</b>

This study aims to identify policy strategies, research trends, challenges, and opportunities to transform Islamic Religious Higher Education (PTAI) to increase global competitiveness and relevance. This study uses a qualitative paradigm with a literature study approach to analyse the institutional transformation of Islamic higher education. Data were collected by searching for scientific articles in leading databases, such as Scopus and Garuda Kemendikbud. The analysis used content analysis techniques to identify central themes and synthesise data descriptively. The study's results identified several important aspects related to policy strategies, research trends, and challenges and opportunities, including (1) Digital Transformation of Islamic Education, where PTAI needs to develop a curriculum that is in line with technology and ensure that the quality of teaching is maintained. The Diffusion of Innovation Theory explains that factors such as relative advantage, observability, complexity, trialability, and technology compatibility influence the adoption of technology in PTAI; (2) A sustainable Adaptive Education Model based on transformational learning theory, which emphasises the importance of critical reflection on social and environmental changes in order to prepare students to face global challenges; (3) Development of Digital Skills to support the transformation of higher education, by the Theory of Educational Technology; (4) Innovation and Entrepreneurship that focuses on increasing the competitiveness of PTAI, based on the theory of educational entrepreneurship. The implications of this study indicate that PTAI needs to adopt technology and adaptive education models to increase global competitiveness. The study's limitations lie in the limited library sources of international scientific articles. The suggestion for further research is to explore the practical implementation of PTAI transformation in various countries, focusing on field studies.

Cationic nickel(II) complexes bearing a phenalenyl-based tridentate ligand

Abstract Cationic nickel(II) complexes featuring a phenalenyl-based N,N,N-tridentate ligand were synthesized and characterized. Their structural and electronic properties were examined using electronic absorption spectroscopy, electrochemical measurements, X-ray diffraction, and theoretical calculations. Additionally, the chemical reduction and photo-induced reactivity of related complexes were investigated.

Pola dan Persepsi Petani Kopi Terhadap Kemitraan di Kabupaten Dairi

Dairi Regency is one of the leading coffee producers in North Sumatra. Most of the coffee farmers in Dairi Regency are engaged in contract farming (CF) with the company PT. Wahana Graha Makmur (WGM). However, the implementation of CF could have been better. This research aims to analyze the mechanisms of established CF patterns and to find out how partner farmers perceive CF in Dairi Region. The survey was conducted from June to December 2023 in Sumbul, Parbuluan and Sitinjo Districts. Respondents were 90 partners of the Cimata Makmur cooperative and 70 partners of the MPOK Catholic Church. CF patterns were analyzed using descriptive analysis, and farmer perceptions were analyzed using a Likert scale. Seven indicators were used in perception analysis: relative advantage, suitability, complexity, communication, cooperation, trust and commitment. The Mann-Whitney test was also conducted to determine differences in the perceptions of partner farmers. The results show that the CF pattern between cooperative partner farmers is a multiparty model, and the partnership pattern between church partner farmers is an intermediate model. Research also shows differences in perceptions between cooperative partner farmers and church partners. These findings provide useful information for companies as a basis for improving partnerships. Farmers' perceptions can be improved with good communication management to reduce the lack of information among partner farmers.

A structure-based mechanism for initiation of AP-3 coated vesicle formation

Adaptor protein complex-3 (AP-3) mediates cargo sorting from endosomes to lysosomes and lysosome-related organelles. Recently, it was shown that AP-3 adopts a constitutively open conformation compared to the related AP-1 and AP-2 coat complexes, which are inactive until undergoing large conformational changes upon membrane recruitment. How AP-3 is regulated is therefore an open question. To understand the mechanism of AP-3 membrane recruitment and activation, we reconstituted human AP-3 and determined multiple structures in the soluble and membrane-bound states using electron cryo-microscopy. Similar to yeast AP-3, human AP-3 is in a constitutively open conformation. To reconstitute AP-3 activation by adenosine di-phosphate (ADP)-ribosylation factor 1 (Arf1), a small guanosine tri-phosphate (GTP)ase, we used lipid nanodiscs to build Arf1-AP-3 complexes on membranes and determined three structures showing the stepwise conformational changes required for formation of AP-3 coated vesicles. First, membrane recruitment is driven by one of two predicted Arf1 binding sites, which flexibly tethers AP-3 to the membrane. Second, cargo binding causes AP-3 to adopt a fixed position and rigidifies the complex, which stabilizes binding for a second Arf1 molecule. Finally, binding of the second Arf1 molecule provides the template for AP-3 dimerization, providing a glimpse into the first step of coat polymerization. We propose coat polymerization only occurs after cargo engagement, thereby linking cargo sorting with assembly of higher-order coat structures. Additionally, we provide evidence for two amphipathic helices in AP-3, suggesting that AP-3 contributes to membrane deformation during coat assembly. In total, these data provide evidence for the first stages of AP-3-mediated vesicle coat assembly.

The Role of Artificial Intelligence in Modern Education: Empowering Learning Process through Advanced Learning Technologies

This study aims to explore the perception and adoption of artificial intelligence (AI) technologies in educational settings, focusing on their benefits and the factors influencing their integration. Guided by Rogers' Diffusion of Innovations Theory, the research examines the relative advantage, compatibility, complexity, trialability, and observability of AI tools in education. Utilizing a qualitative approach, data were collected through surveys and interviews with students from the Pendidikan Agama Islam (PAI) program at Universitas Islam Jakarta. The findings reveal a generally positive perception of AI technologies, with strong support for their relative advantage, compatibility, trialability, and observability. Most respondents recognize the benefits of AI in personalizing learning experiences and providing flexible, accessible support. However, opinions are divided on the complexity of AI tools, indicating a need for more user-friendly designs and comprehensive training. The study also highlights various motivational factors, such as curiosity, autonomous learning, engagement, emotional involvement, authenticity, and the desire for self-improvement, which significantly influence the learning process. These insights suggest that addressing perceived challenges and fostering a supportive, engaging learning environment can enhance the acceptance and effectiveness of AI in education. Future research should focus on developing intuitive AI interfaces, conducting longitudinal impact studies, and exploring strategies to enhance personalization and engagement.

Adopting artificial intelligence in Kenyan academic libraries: analyzing through the technology-organization-environment framework

PurposeThe main aim of the paper was to determine the effect of Technology–Organization–Environment (TOE) Framework on adoption of artificial intelligence (AI) in Kenyan academic libraries anchored on diffusion innovation and TOE theories.Design/methodology/approachThe target population comprised of 517 librarians, deputy librarian, and senior staff from 98 academic libraries from institutions of higher learning in Kenya. The study used stratified and random technique to sample 226 respondents.FindingsFindings showed that technology factors (relative advantages, compatibility, and complexity) and environmental factors (regulatory environment, competitive pressure, and vendor partnership) positively affect adoption of AI in Kenyan academic libraries. However, organizational factors (firm size, top management support, and organizational readiness) had insignificant effect on adoption of AI in Kenyan academic libraries.Research limitations/implicationsThe study underscores the necessity of proactive policy measures and managerial decisions to drive AI adoption in academic libraries. Policymakers must prioritize investments in training and resources to enhance staff readiness and create supportive regulatory environments. Library administrators play a pivotal role in demonstrating leadership support and effectively allocating resources to overcome implementation challenges. Tailoring adoption strategies to individual library needs and fostering collaboration between policymakers and administrators are critical for successful AI integration.Originality/valueOther studies that have been done on application of AI in academic libraries have taken broader approach but this study narrows its focus to highlighting the pivotal influence of technological factors on AI adoption in academic libraries, recognizing the benefits and obstacles inherent in integration.