Pandit Deendayal Petroleum University

The paper examines the impact of the US-China trade war on China’s energy transition and its clean energy goals, employing a mixed-methods approach. It suggests that the trade war has acted as a catalyst for China’s clean energy initiatives, with China implementing measures such as market diversification and the dual circulation strategy to counteract the tariff war. Overreliance on China for critical clean energy components presents considerable risks to global supply chains.

Background Career decision-making in collectivist societies often occurs within strong family influence, yet limited research has examined whether the type of parental involvement has lasting implications for adult career satisfaction, particularly in high-investment professions such as medicine. Purpose This study investigates whether autonomy-supportive and directive parental involvement during career decision-making differentially predict long-term career satisfaction among physicians in India. Methods A cross-sectional survey was conducted among 100 practicing physicians in Ahmedabad, India (final N = 98 after data screening). Participants reported retrospective parental involvement and current career satisfaction. Hierarchical regression analyses and bias-corrected bootstrapped mediation (5,000 resamples) were used to test direct and indirect effects while controlling for age and gender. Key Findings Autonomy-supportive parental involvement significantly predicted higher career satisfaction (β = 0.291, 95% CI [0.079, 0.503], p = 0.008), whereas directive involvement was not significant (β = −0.061, 95% CI [−0.214, 0.092], p = 0.432). Career–values alignment partially mediated the relationship (indirect effect = 0.220, 95% CI [0.031, 0.425]). Implications Findings suggest that autonomy-supportive family environments foster long-term vocational well-being even in collectivist contexts where parental authority is normative. The results inform family-inclusive career counseling and value-alignment interventions in culturally interdependent societies.

Two-dimensional (2D) materials with engineered heterojunctions offer exciting opportunities for next-generation optoelectronic devices. However, achieving high-speed and ambient-stable photodetectors remains challenging. Here, we report a novel heterostructure photodetector based on p-type Ti3C2 MXene decorated on vertically aligned n-type SnS2 nanosheets grown via chemical vapor deposition. This Ti3C2/SnS2 hybrid structure forms a nanoscale p-n junction network with built-in electric fields that significantly enhance photocarrier separation and suppress recombination. The resulting device operates without gate bias and demonstrates a responsivity of 1.34 A W-1, a detectivity of 9.91 x 1011 Jones, and an ultrafast response time of 0.15 ms under visible light illumination. Electrochemical impedance analysis confirms efficient interfacial charge transfer, while the device maintains stable operation over 300 cycles and even after prolonged ambient exposure, highlighting excellent environmental robustness. Comparative analysis with the existing TMD and MXene-based photodetectors establishes the superiority of our approach in simultaneously achieving high speed, sensitivity, and stability. This work offers a scalable platform for developing high-performance 2D material heterojunction devices and sets a new benchmark for MXene-integrated optoelectronics.

The biofuels are advanced sources of renewable energy extracted from biological materials like organic waste, plants, agricultural residues etc. In parallel, the decomposition of microorganisms with nanomaterial has emerged as a prominent bio-inspired mechanism, improving the energy conversion, transport phenomenon and sustainability in advanced energy systems. This analysis presents the applications of bioconvection in flow of viscoelastic micropolar nanofluid in presence of thermo-diffusion phenomenon. The transport of viscoelastic micropolar fluid is induces by stretching surface. The assessment of mass transfer is supported with chemical reactive species. Insight of thermal problem is further examined with Dufour, Soret and convective boundary conditions. A famous analytical technique namely homotopy analysis method (HAM) is used as solution methodology to tackle the governing equations. The results are physically interpreted due to specific flow parameters. It has been observed that microrotation velocity enhances for viscoelastic fluid parameter. The heat transfer increase for Dufour number while declining effects are observed for micropolar fluid parameter. Furthermore, the concentration profile enhances for Soret number. The proposed outcomes provide significance applications in biofuels processing, fertilizes, enzymes etc.

The set up and development of a four degree-of-freedom (4-DOF) robotic manipulator comprised of lightweight acrylic and powered by \((SG90)\) servo motors. In order to avoid the need for conventional kinematic and dynamic computations, machine learning (ML) based gesture detection is impacted by an appealing hand gesture interface driven by OpenCV and MediaPipe. This methodology enhances competency and user accessibility while diminishing robotic control. A bluetooth module coupled with an Arduino Nano enables wireless connectivity, facilitating the real-time transmission of gesture signals that are translated into specific servo movements. Extensive performance assessments that include force, torque and energy efficiency assessments verify the manipulators? reliability and immaculate performance during real-world testing. Although the unified integration of gesture recognition and mechanical control validates robust potential within multiple domains, for instance teleoperation in hazardous circumstances, adaptive robotics for people with disabilities, collaborative educational platforms, and unconventional human-machine interaction, its sectional and lightweight design ensures portability. In general, the suggested approach offers a cost-effective, flexible, and wireless method for performing robotic manipulation.